├── LICENSE.MD ├── README.md ├── beatclassification ├── Classification.py ├── Evaluation.py ├── LabelsExtraction.py ├── NN │ ├── ESN.py │ └── NN.py ├── Preprocessing.py ├── SVM_weighted │ ├── FeatureExtraction.py │ └── Main.py ├── data_visualization.py └── rule_based │ ├── Evaluation.py │ └── Main.py ├── data ├── names.txt └── peaks │ ├── KNN │ └── mitdb │ │ └── rpeakdetection │ │ ├── one_channel │ │ ├── 10 │ │ │ ├── 100.tsv │ │ │ ├── 101.tsv │ │ │ ├── 102.tsv │ │ │ ├── 103.tsv │ │ │ ├── 104.tsv │ │ │ ├── 105.tsv │ │ │ ├── 106.tsv │ │ │ ├── 107.tsv │ │ │ ├── 108.tsv │ │ │ ├── 109.tsv │ │ │ ├── 111.tsv │ │ │ ├── 112.tsv │ │ │ ├── 113.tsv │ │ │ ├── 114.tsv │ │ │ ├── 115.tsv │ │ │ ├── 116.tsv │ │ │ ├── 117.tsv │ │ │ ├── 118.tsv │ │ │ ├── 119.tsv │ │ │ ├── 121.tsv │ │ │ ├── 122.tsv │ │ │ ├── 123.tsv │ │ │ ├── 124.tsv │ │ │ ├── 200.tsv │ │ │ ├── 201.tsv │ │ │ ├── 202.tsv │ │ │ ├── 203.tsv │ │ │ ├── 205.tsv │ │ │ ├── 207.tsv │ │ │ ├── 207_rr.tsv │ │ │ ├── 208.tsv │ │ │ ├── 209.tsv │ │ │ ├── 210.tsv │ │ │ ├── 212.tsv │ │ │ ├── 213.tsv │ │ │ ├── 214.tsv │ │ │ ├── 215.tsv │ │ │ ├── 217.tsv │ │ │ ├── 219.tsv │ │ │ ├── 220.tsv │ │ │ ├── 221.tsv │ │ │ ├── 222.tsv │ │ │ ├── 223.tsv │ │ │ ├── 228.tsv │ │ │ ├── 230.tsv │ │ │ ├── 231.tsv │ │ │ ├── 232.tsv │ │ │ ├── 233.tsv │ │ │ └── 234.tsv │ │ ├── 20 │ │ │ ├── 100.tsv │ │ │ ├── 101.tsv │ │ │ ├── 102.tsv │ │ │ ├── 103.tsv │ │ │ ├── 104.tsv │ │ │ ├── 105.tsv │ │ │ ├── 106.tsv │ │ │ ├── 107.tsv │ │ │ ├── 108.tsv │ │ │ ├── 109.tsv │ │ │ ├── 111.tsv │ │ │ ├── 112.tsv │ │ │ ├── 113.tsv │ │ │ ├── 114.tsv │ │ │ ├── 115.tsv │ │ │ ├── 116.tsv │ │ │ ├── 117.tsv │ │ │ ├── 118.tsv │ │ │ ├── 119.tsv │ │ │ ├── 121.tsv │ │ │ ├── 122.tsv │ │ │ ├── 123.tsv │ │ │ ├── 124.tsv │ │ │ ├── 200.tsv │ │ │ ├── 201.tsv │ │ │ ├── 202.tsv │ │ │ ├── 203.tsv │ │ │ ├── 205.tsv │ │ │ ├── 207.tsv │ │ │ ├── 208.tsv │ │ │ ├── 209.tsv │ │ │ ├── 210.tsv │ │ │ ├── 212.tsv │ │ │ ├── 213.tsv │ │ │ ├── 214.tsv │ │ │ ├── 215.tsv │ │ │ ├── 217.tsv │ │ │ ├── 219.tsv │ │ │ ├── 220.tsv │ │ │ ├── 221.tsv │ │ │ ├── 222.tsv │ │ │ ├── 223.tsv │ │ │ ├── 228.tsv │ │ │ ├── 230.tsv │ │ │ ├── 231.tsv │ │ │ ├── 232.tsv │ │ │ ├── 233.tsv │ │ │ └── 234.tsv │ │ ├── 50 │ │ │ ├── 100.tsv │ │ │ ├── 101.tsv │ │ │ ├── 102.tsv │ │ │ ├── 103.tsv │ │ │ ├── 104.tsv │ │ │ ├── 105.tsv │ │ │ ├── 106.tsv │ │ │ ├── 107.tsv │ │ │ ├── 108.tsv │ │ │ ├── 109.tsv │ │ │ ├── 111.tsv │ │ │ ├── 112.tsv │ │ │ ├── 113.tsv │ │ │ ├── 114.tsv │ │ │ ├── 115.tsv │ │ │ ├── 116.tsv │ │ │ ├── 117.tsv │ │ │ ├── 118.tsv │ │ │ ├── 119.tsv │ │ │ ├── 121.tsv │ │ │ ├── 122.tsv │ │ │ ├── 123.tsv │ │ │ ├── 124.tsv │ │ │ ├── 200.tsv │ │ │ ├── 201.tsv │ │ │ ├── 202.tsv │ │ │ ├── 203.tsv │ │ │ ├── 205.tsv │ │ │ ├── 207.tsv │ │ │ ├── 208.tsv │ │ │ ├── 209.tsv │ │ │ ├── 210.tsv │ │ │ ├── 212.tsv │ │ │ ├── 213.tsv │ │ │ ├── 214.tsv │ │ │ ├── 215.tsv │ │ │ ├── 217.tsv │ │ │ ├── 219.tsv │ │ │ ├── 220.tsv │ │ │ ├── 221.tsv │ │ │ ├── 222.tsv │ │ │ ├── 223.tsv │ │ │ ├── 228.tsv │ │ │ ├── 230.tsv │ │ │ ├── 231.tsv │ │ │ ├── 232.tsv │ │ │ ├── 233.tsv │ │ │ └── 234.tsv │ │ └── peaks.zip │ │ └── two_channels │ │ ├── 10 │ │ ├── 100.tsv │ │ ├── 101.tsv │ │ ├── 102.tsv │ │ ├── 103.tsv │ │ └── 104.tsv │ │ ├── 20 │ │ ├── 100.tsv │ │ ├── 101.tsv │ │ ├── 102.tsv │ │ ├── 103.tsv │ │ └── 104.tsv │ │ └── 50 │ │ ├── 100.tsv │ │ ├── 101.tsv │ │ ├── 102.tsv │ │ ├── 103.tsv │ │ └── 104.tsv │ ├── pantompkins │ └── mitdb │ │ ├── 100.tsv │ │ ├── 101.tsv │ │ ├── 102.tsv │ │ ├── 103.tsv │ │ ├── 104.tsv │ │ ├── 105.tsv │ │ ├── 106.tsv │ │ ├── 107.tsv │ │ ├── 108.tsv │ │ ├── 109.tsv │ │ ├── 111.tsv │ │ ├── 112.tsv │ │ ├── 113.tsv │ │ ├── 114.tsv │ │ ├── 115.tsv │ │ ├── 116.tsv │ │ ├── 117.tsv │ │ ├── 118.tsv │ │ ├── 119.tsv │ │ ├── 121.tsv │ │ ├── 122.tsv │ │ ├── 123.tsv │ │ ├── 124.tsv │ │ ├── 200.tsv │ │ ├── 201.tsv │ │ ├── 202.tsv │ │ ├── 203.tsv │ │ ├── 205.tsv │ │ ├── 207.tsv │ │ ├── 208.tsv │ │ ├── 209.tsv │ │ ├── 210.tsv │ │ ├── 212.tsv │ │ ├── 213.tsv │ │ ├── 214.tsv │ │ ├── 215.tsv │ │ ├── 217.tsv │ │ ├── 219.tsv │ │ ├── 220.tsv │ │ ├── 221.tsv │ │ ├── 222.tsv │ │ ├── 223.tsv │ │ ├── 228.tsv │ │ ├── 230.tsv │ │ ├── 231.tsv │ │ ├── 232.tsv │ │ ├── 233.tsv │ │ └── 234.tsv │ └── rpeak │ └── mitdb │ ├── 100.tsv │ ├── 101.tsv │ ├── 102.tsv │ ├── 103.tsv │ ├── 104.tsv │ ├── 105.tsv │ ├── 106.tsv │ ├── 107.tsv │ ├── 108.tsv │ ├── 109.tsv │ ├── 111.tsv │ ├── 112.tsv │ ├── 113.tsv │ ├── 114.tsv │ ├── 115.tsv │ ├── 116.tsv │ ├── 117.tsv │ ├── 118.tsv │ ├── 119.tsv │ ├── 121.tsv │ ├── 122.tsv │ ├── 123.tsv │ ├── 124.tsv │ ├── 200.tsv │ ├── 201.tsv │ ├── 202.tsv │ ├── 203.tsv │ ├── 205.tsv │ ├── 207.tsv │ ├── 208.tsv │ ├── 209.tsv │ ├── 210.tsv │ ├── 212.tsv │ ├── 213.tsv │ ├── 214.tsv │ ├── 215.tsv │ ├── 217.tsv │ ├── 219.tsv │ ├── 220.tsv │ ├── 221.tsv │ ├── 222.tsv │ ├── 223.tsv │ ├── 228.tsv │ ├── 230.tsv │ ├── 231.tsv │ ├── 232.tsv │ ├── 233.tsv │ └── 234.tsv └── rpeakdetection ├── Evaluation.py ├── KNN ├── FeatureExtraction.py ├── GridSearch.py └── KNN.py ├── Utility.py ├── generics └── peak_detector.py └── pan_tompkins ├── pan.py ├── pan_tompkin.m └── pan_tompkins.py /LICENSE.MD: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2018 Fabrizio Tropeano, Alessandro Scirè 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /beatclassification/Classification.py: -------------------------------------------------------------------------------- 1 | from beatclassification.Preprocessing import Preprocessing 2 | from sklearn.model_selection import GridSearchCV 3 | from sklearn.neighbors import KNeighborsClassifier 4 | import numpy as np 5 | from sklearn import metrics 6 | from sklearn.metrics import precision_score, recall_score 7 | import scikitplot as splt 8 | import matplotlib.pyplot as plt 9 | from beatclassification.data_visualization import data_visualization 10 | 11 | prep = Preprocessing() 12 | dv = data_visualization() 13 | train_shape = (51011, 170) 14 | test_shape = (49701, 170) 15 | 16 | 17 | def score_func(y_true, pred): 18 | return np.mean(metrics.f1_score(y_true, pred, average=None)) 19 | 20 | 21 | train_dataset = ['106', '112', '122', '201', '223', '230', "108", "109", "115", "116", "118", "119", "124", 22 | "205", "207", "208", "209", "215", '101', '114', '203', '220'] 23 | test_dataset = ["100", "103", "105", "111", "113", "117", "121", "123", "200", "202", "210", "212", "213", "214", "219", 24 | "221", "222", "228", "231", "232", "233", "234"] 25 | distribution = dv.data_distribution(train_dataset, aami=True) 26 | X_train, Y_train = prep.preprocess(train_dataset, train_shape, one_hot=False) 27 | augment_F = distribution['V']/distribution['F'] 28 | X_train, Y_train = prep.augment_data(X_train, Y_train, ['N', 'S','V', 'F'], label='S', factor=2, one_hot=False) 29 | X_train, Y_train = prep.augment_data(X_train, Y_train, ['N', 'S','V', 'F'], label='F', factor=2, one_hot=False) 30 | X_test, Y_test = prep.preprocess(test_dataset, test_shape, one_hot=False) 31 | classifier = KNeighborsClassifier() 32 | parameters = { 33 | 'n_neighbors': np.arange(1, 21, 2), 34 | 'weights': ['uniform', 'distance'], 35 | } 36 | 37 | grid_search = GridSearchCV(classifier, 38 | parameters, 39 | scoring=metrics.make_scorer(score_func), 40 | cv=5, 41 | n_jobs=-1, 42 | verbose=20) 43 | print("training") 44 | grid_search.fit(X_train, Y_train) 45 | model = grid_search.best_estimator_ 46 | predicted = model.predict(X_test) 47 | splt.metrics.plot_confusion_matrix(Y_test, predicted) 48 | print("per class precision") 49 | precision = precision_score(Y_test, predicted, average=None) 50 | print(precision) 51 | print("average precision") 52 | print(np.mean(precision)) 53 | print('per class recall') 54 | recall = recall_score(Y_test, predicted, average=None) 55 | print(recall) 56 | print('average recall') 57 | print(np.mean(recall)) 58 | plt.show() 59 | plt.close() 60 | -------------------------------------------------------------------------------- /beatclassification/Evaluation.py: -------------------------------------------------------------------------------- 1 | from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score, confusion_matrix 2 | import itertools 3 | import numpy as np 4 | import scikitplot as splt 5 | import matplotlib.pyplot as plt 6 | 7 | class Evaluation: 8 | 9 | def evaluate( self, predictions, Y_test,classes=None, title=None, one_hot=True, plot=True): 10 | if classes == None: 11 | classes = ['N', 'S', 'V', 'F'] 12 | if one_hot: 13 | if len(classes) > 2: 14 | predictions = list(map(lambda x: np.argmax(x), predictions)) 15 | Y_test = list(map(lambda x: np.argmax(x), Y_test)) 16 | else: 17 | predictions = list(map(lambda x : 0 if x <0.5 else 1, predictions)) 18 | if plot: 19 | cm = confusion_matrix(Y_test, predictions) 20 | self.plot_confusion_matrix(cm, classes, normalize=False, title=title) 21 | plt.show() 22 | plt.close() 23 | self.plot_confusion_matrix(cm, classes, normalize=True, title='normalized ' +title) 24 | plt.show() 25 | plt.close() 26 | print("average accuracy") 27 | accuracy = accuracy_score(Y_test, predictions) 28 | print(accuracy) 29 | print("per class precision") 30 | precision = precision_score(Y_test, predictions, average=None) 31 | print(precision) 32 | print("average precision") 33 | av_precision = np.mean(precision) 34 | print(av_precision) 35 | print('per class recall') 36 | recall = recall_score(Y_test, predictions, average=None) 37 | print(recall) 38 | print('average recall') 39 | av_recall = np.mean(recall) 40 | print(av_recall) 41 | print('per class f score') 42 | fscore = f1_score(Y_test, predictions, average=None) 43 | print(fscore) 44 | av_fscore = np.mean(fscore) 45 | print('average fscore') 46 | print(av_fscore) 47 | return av_fscore 48 | 49 | def plot_confusion_matrix(self, cm, classes, 50 | normalize=False, 51 | title='Confusion matrix', 52 | cmap=plt.cm.Blues): 53 | """ 54 | This function prints and plots the confusion matrix. 55 | Normalization can be applied by setting `normalize=True`. 56 | """ 57 | if normalize: 58 | cm = cm.astype('float') / cm.sum(axis=1)[ :, np.newaxis ] 59 | print("Normalized confusion matrix") 60 | else: 61 | print('Confusion matrix, without normalization') 62 | 63 | print(cm) 64 | 65 | plt.imshow(cm, interpolation='nearest', cmap=cmap) 66 | plt.title(title) 67 | plt.colorbar() 68 | tick_marks = np.arange(len(classes)) 69 | plt.xticks(tick_marks, classes) 70 | plt.yticks(tick_marks, classes) 71 | 72 | fmt = '.2f' if normalize else 'd' 73 | thresh = cm.max() / 2. 74 | for i, j in itertools.product(range(cm.shape[ 0 ]), range(cm.shape[ 1 ])): 75 | plt.text(j, i, format(cm[ i, j ], fmt), 76 | horizontalalignment="center", 77 | color="white" if cm[ i, j ] > thresh else "black") 78 | 79 | plt.ylabel('True label') 80 | plt.xlabel('Predicted label') 81 | plt.tight_layout() 82 | -------------------------------------------------------------------------------- /beatclassification/LabelsExtraction.py: -------------------------------------------------------------------------------- 1 | import wfdb 2 | import numpy as np 3 | from collections import defaultdict 4 | from bisect import bisect_left 5 | from rpeakdetection.Utility import Utility 6 | 7 | ut = Utility() 8 | 9 | 10 | class LabelsExtraction: 11 | 12 | def extract(self, ann_path, db='mitdb', peaks=None, include_vf=False, from_annot=True): 13 | """reads beat labels for each signal in a Physionet database 14 | :arg ann_path: path of the local folder containing the annotations files(.atr) 15 | :arg db: string identifier for the Physionet DB 16 | :arg include_vf: whether to include Ventricular Fibrillation(VF) annotations 17 | :arg peaks: list or numpy array containing the peaks locations. Used only if from_annot=False 18 | :arg from_annot: whether to associate labels to peaks from the ground truth(.atr file) 19 | :returns labels: a dictionary [signal_name, labels] 20 | """ 21 | labels = defaultdict(list) 22 | if peaks is None: 23 | peaks = defaultdict(list) 24 | names = wfdb.get_record_list(db) 25 | for name in names: 26 | if name == '207' and include_vf: 27 | annotation = wfdb.rdann(ann_path + name + '_VF', 'atr') 28 | ann_symbols = annotation.symbol 29 | else: 30 | ann_samples, ann_symbols = ut.remove_non_beat(ann_path + name) 31 | if from_annot: 32 | peaks[name] = ann_samples 33 | labels[name] = ann_symbols 34 | else: 35 | output_labels = list() 36 | for peak in peaks: 37 | closest = self.take_closest(ann_samples, peak) 38 | if closest == len(ann_samples): 39 | output_labels.append(ann_symbols[closest - 1]) 40 | else: 41 | output_labels.append(ann_symbols[closest]) 42 | labels[name] = output_labels 43 | return labels, peaks 44 | 45 | def take_closest(self, annotation_samples, peak_location): 46 | pos = bisect_left(annotation_samples, peak_location) 47 | if pos == 0: 48 | return pos 49 | if pos == len(annotation_samples): 50 | return pos 51 | before = annotation_samples[-1] 52 | after = annotation_samples[pos] 53 | if after - peak_location < peak_location - before: 54 | return pos 55 | else: 56 | return pos - 1 -------------------------------------------------------------------------------- /beatclassification/NN/ESN.py: -------------------------------------------------------------------------------- 1 | from beatclassification.NN.Preprocessing import Preprocessing 2 | from sklearn.linear_model import LogisticRegression 3 | prep = Preprocessing() 4 | from sklearn.metrics import precision_score 5 | from sklearn.metrics import recall_score 6 | from collections import defaultdict 7 | import scikitplot as splt 8 | import matplotlib.pyplot as plt 9 | import numpy as np 10 | import math 11 | import pickle 12 | 13 | 14 | def mackey_glass_non_linearity(x_t, x_t_minus_tau, input): 15 | ni = 0.8 16 | gamma = 0.5 17 | p = 7. 18 | output = -x_t + (ni * (x_t_minus_tau + gamma*input)) / (1 + 19 | math.pow(x_t_minus_tau + gamma * input, p)) 20 | return output 21 | 22 | def generate_ranmask(M,N): 23 | rand = np.random.random((M,N)) 24 | # generate matrix of 1 , -1 25 | return np.vectorize(lambda x: -1 if x < 0.5 else 1)(rand) 26 | 27 | 28 | def reservoir(dataset, dataset_name, write=True): 29 | if not write: 30 | return np.load(dataset_name + '.npy') 31 | N = 25 32 | M = 170 33 | #tau = 5 34 | prev = 0 35 | #state_vec = np.zeros(tau, dtype='float64') 36 | state_vec = defaultdict(int) 37 | D = list() 38 | for i, beat in enumerate(dataset): 39 | print(i) 40 | mask = generate_ranmask(M, N) 41 | S = list() 42 | for j, sample in enumerate(beat): 43 | input = sample * mask[j] 44 | s = list() 45 | for node in range(N): 46 | response = mackeyglass_rk4(input[node], state_vec, prev, node) 47 | if response == np.inf: 48 | raise Exception("found:Infinity! not suitable for classifiers") 49 | if math.isnan(response): 50 | raise Exception("found:Not a number! not suitable for classifiers") 51 | s.append(response) 52 | prev = response 53 | #state_vec = update_state(response, state_vec) 54 | state_vec[node] = response 55 | S.append(s) 56 | # print(np.mean(S)) 57 | D.append(S) 58 | D = np.array(D) 59 | np.save(dataset_name + '.npy', D) 60 | #return D.reshape((len(dataset),170*25)) 61 | return D 62 | 63 | def update_state(response, state_vec): 64 | for i,e in reversed(list(enumerate(state_vec.tolist()))): 65 | if i > 0: 66 | state_vec[i] = state_vec[i-1] 67 | else: 68 | state_vec[i] = response 69 | return state_vec 70 | 71 | 72 | def mackeyglass_rk4(input, state_vec, prev, node): 73 | theta = 0.2 74 | # tau = 5 75 | x_t = prev 76 | x_t_minus_tau = state_vec[node] 77 | k1 = theta*mackey_glass_non_linearity(x_t, x_t_minus_tau, input) 78 | k2 = theta*mackey_glass_non_linearity(x_t+0.5*k1, x_t_minus_tau, input) 79 | k3 = theta*mackey_glass_non_linearity(x_t+0.5*k2, x_t_minus_tau, input) 80 | k4 = theta*mackey_glass_non_linearity(x_t+k3, x_t_minus_tau, input) 81 | return x_t + k1/6 + k2/3 + k3/3 + k4/6 82 | 83 | 84 | X_train, Y_train, X_test, Y_test = prep.preprocess(one_hot=False) 85 | assert X_train.shape[0] == Y_train.shape[0] 86 | X_train = reservoir(X_train, 'train', write=False) 87 | shape = X_train.shape 88 | X_train = X_train.reshape(shape[0], shape[1]*shape[2]) 89 | X_test = reservoir(X_test, 'test', write=False) 90 | shape = X_test.shape 91 | X_test = X_test.reshape((shape[0], shape[1]*shape[2])) 92 | lr = LogisticRegression(penalty='l1', verbose=1, solver='saga', n_jobs=8, max_iter=100000, tol=0.000001) 93 | lr.fit(X_train, Y_train) 94 | pred = lr.predict(X_test) 95 | splt.metrics.plot_confusion_matrix(Y_test, pred) 96 | with open('logistic_regression.pkl', 'wb') as fid: 97 | pickle.dump(lr, fid) 98 | print(precision_score(Y_test, pred, average=None)) 99 | print(recall_score(Y_test, pred,average=None)) 100 | plt.show() 101 | -------------------------------------------------------------------------------- /beatclassification/SVM_weighted/Main.py: -------------------------------------------------------------------------------- 1 | from beatclassification.SVM_weighted.FeatureExtraction import FeatureExtraction 2 | from rpeakdetection.Utility import Utility 3 | from sklearn.svm import LinearSVC 4 | from sklearn.svm import SVC 5 | from sklearn.ensemble import BaggingClassifier 6 | import numpy as np 7 | from sklearn import metrics 8 | from sklearn.metrics import precision_score 9 | from sklearn.metrics import recall_score 10 | from sklearn.metrics import accuracy_score 11 | import matplotlib.pyplot as plt 12 | import scikitplot as splt 13 | from sklearn.metrics import f1_score 14 | from sklearn.model_selection import GridSearchCV 15 | import itertools 16 | import pickle 17 | ut = Utility() 18 | fe = FeatureExtraction() 19 | 20 | 21 | 22 | train_dataset = ["101", "106", "108","109", "112", "114", "115", "116", "118", "119", "122", "124", "201", "203", 23 | "205", "207", "208", "209", "215", "220", "223", "230"] 24 | test_dataset = ["100", "103", "105", "111", "113", "117", "121", "123", "200", "202", "210", "212", "213","214", "219", 25 | "221", "222", "228", "231", "232", "233", "234"] 26 | ann_path = 'data/ecg/mitdb/' 27 | 28 | group_names = ['rr', 'hos', 'raw', 'wavelets'] 29 | group_comb = list() 30 | for i in range(len(group_names)): 31 | for comb in itertools.combinations(group_names, i): 32 | if len(comb) > 0: 33 | group_comb.append(comb) 34 | 35 | 36 | 37 | def score_func(y_true, pred): 38 | return np.mean(metrics.f1_score(y_true, pred, average=None)) 39 | 40 | 41 | scale_factors = [-14, 4, 1, 10] 42 | max = 0 43 | best_group = None 44 | best_precision = 0 45 | best_recall = 0 46 | best_f1 = 0 47 | Y_test = None 48 | best_pred = None 49 | best_model = None 50 | peaks = ut.remove_non_beat_for_all(ann_path)[0] 51 | for feat_group in group_comb: 52 | print(feat_group) 53 | X_train, Y_train = fe.extract(train_dataset,features_group=feat_group, ann_path=ann_path, peaks=peaks, 54 | scale_factors=scale_factors,from_annot=True) 55 | train = Y_train.tolist() 56 | weights = {q: 1/train.count(q) for q in range(0,4)} 57 | X_test, Y_test = fe.extract(test_dataset, features_group=feat_group, ann_path=ann_path, peaks=peaks, from_annot=True) 58 | random_state = np.random.seed(42) 59 | classifier = LinearSVC(class_weight='balanced') 60 | params = { 61 | 'base_estimator' : [None, classifier], 62 | 'max_samples' : np.arange(0.5, 1.1, 0.1), 63 | 'max_features': np.arange(0.5, 1.1, 0.1) 64 | } 65 | grid_search = GridSearchCV(BaggingClassifier(), params, scoring=metrics.make_scorer(score_func), 66 | cv=5, n_jobs=-1, verbose=10) 67 | grid_search.fit(X_train, Y_train) 68 | model = grid_search.best_estimator_ 69 | print(model) 70 | predicted = grid_search.predict(X_test) 71 | splt.metrics.plot_confusion_matrix(Y_test, predicted) 72 | precision = precision_score(Y_test, predicted, average=None) 73 | recall = recall_score(Y_test, predicted, average=None) 74 | f1 = f1_score(Y_test, predicted, average=None) 75 | print(precision) 76 | print(recall) 77 | if np.mean(f1) > max: 78 | max = np.mean(f1) 79 | best_model = grid_search.best_estimator_ 80 | best_precision = precision 81 | best_recall = recall 82 | best_f1 = f1 83 | best_group = feat_group 84 | best_pred = predicted 85 | print("best: model, precision, recall, f1, group") 86 | print(best_model) 87 | print(best_precision) 88 | print(best_recall) 89 | print(best_f1) 90 | print(best_group) 91 | splt.metrics.plot_confusion_matrix(Y_test, best_pred) 92 | print("best: model, precision, recall, f1, group") 93 | print(best_model) 94 | print(best_precision) 95 | print(best_recall) 96 | print(best_f1) 97 | print(best_group) 98 | with open('ensemble.pkl', 'wb') as fid: 99 | pickle.dump(best_model, fid) 100 | plt.show() 101 | 102 | 103 | 104 | 105 | 106 | 107 | 108 | -------------------------------------------------------------------------------- /beatclassification/data_visualization.py: -------------------------------------------------------------------------------- 1 | import wfdb 2 | import numpy as np 3 | from rpeakdetection.Utility import Utility 4 | import matplotlib.pyplot as plt 5 | 6 | 7 | ut = Utility() 8 | ecg_path = 'data/ecg/mitdb/' 9 | class2symbols = {'N': ['N', 'L', 'R', 'e', 'j'], 10 | 'S': ['A', 'a', 'J', 'S'], 11 | 'V': ['V', 'E'], 12 | 'F': ['F'], 13 | 'Q': ['/', 'f', 'Q']} 14 | symbol2class = {"N": "N", "L": "N", "R": "N", "e": "N", "j": "N", 15 | "A": "S", "a": "S", "J": "S", "S": "S", 16 | "V": "V", "E": "V", 17 | "F": "F", 18 | '/': 'Q', 'f': 'Q', 'Q': 'Q'} 19 | 20 | 21 | class data_visualization(): 22 | 23 | def plot_beats(self, label): 24 | for name in wfdb.get_record_list('mitdb'): 25 | print(name) 26 | # noinspection PyRedeclaration 27 | record = wfdb.rdrecord(ecg_path + name) 28 | record = np.transpose(record.p_signal) 29 | peaks, symbols = ut.remove_non_beat(ecg_path + name, False) 30 | s_pairs = list(filter(lambda x: x[1] == label, zip(peaks, symbols))) 31 | s_beats_first = [record[0][pair[0] - 70:pair[0] + 100] for pair in s_pairs] 32 | if len(s_beats_first) > 0: 33 | for beat in s_beats_first: 34 | plt.plot(beat) 35 | plt.title(label) 36 | plt.show() 37 | 38 | def plot_beats_dataset(self, X, Y, dataset_name, label_index, one_hot=True): 39 | if one_hot: 40 | Y = list(map(lambda x : np.argmax(x), Y)) 41 | s_pairs = list(filter(lambda x: x[1] == label_index, zip(X, Y))) 42 | s_beats, _ = zip(*s_pairs) 43 | plt.plot(np.mean(s_beats, axis=0)) 44 | plt.savefig('beatclassification/beat_images/'+dataset_name+ ' average S beat.png') 45 | plt.close() 46 | 47 | def data_distribution(self, dataset, aami): 48 | from collections import defaultdict 49 | distribution = defaultdict(int) 50 | for name in dataset: 51 | peaks, symbols = ut.remove_non_beat(ecg_path + name, False) 52 | for sym in symbols: 53 | if aami: 54 | sym = symbol2class[sym] 55 | distribution[sym] += 1 56 | sorted_by_value = sorted(distribution.items(), key=lambda kv: kv[1], reverse=True) 57 | print(sorted_by_value) 58 | return distribution 59 | 60 | def distribution(self, Y, classes, multiclass=True): 61 | from collections import defaultdict 62 | distribution = defaultdict(int) 63 | for one_hot in Y: 64 | if multiclass: 65 | index = np.argmax(one_hot) 66 | else: 67 | index= int(one_hot[0]) 68 | symbol = classes[index] 69 | distribution[symbol] += 1 70 | return distribution 71 | 72 | def plot_wrong_predictions( self, predicted, target, beats): 73 | s_wrong = list(filter(lambda x: x[ 0 ] == 0 and x[ 1 ] == 1, zip(predicted, target, beats))) 74 | print(len(s_wrong)) 75 | _, _, wrong_beats = zip(*s_wrong) 76 | wrong_beats = list(map(lambda x: x[ -1 ], wrong_beats)) 77 | plt.close() 78 | for beat in wrong_beats: 79 | plt.plot(beat) 80 | plt.title('wrong classified S beats') 81 | plt.show() 82 | plt.close() 83 | 84 | 85 | 86 | if __name__ == '__main__': 87 | train_dataset = ['106', '112', '122', '201', '223', '230', "108", "109", "115", "116", "118", "119", "124", 88 | "205", "207", "208", "209", "215", '101', '114', '203', '220'] 89 | test_dataset = ["100", "103", "105", "111", "113", "117", "121", "123", "200", "202", "210", "212", "213", "214", 90 | "219", 91 | "221", "222", "228", "231", "232", "233", "234"] 92 | dv = data_visualization() 93 | dv.data_distribution(train_dataset) 94 | dv.data_distribution(test_dataset) 95 | -------------------------------------------------------------------------------- /data/names.txt: -------------------------------------------------------------------------------- 1 | 100 2 | 101 3 | 102 4 | 103 5 | 104 6 | 105 7 | 106 8 | 107 9 | 108 10 | 109 11 | 111 12 | 112 13 | 113 14 | 114 15 | 115 16 | 116 17 | 117 18 | 118 19 | 119 20 | 121 21 | 122 22 | 123 23 | 124 24 | 200 25 | 201 26 | 202 27 | 203 28 | 205 29 | 207 30 | 208 31 | 209 32 | 210 33 | 212 34 | 213 35 | 214 36 | 215 37 | 217 38 | 219 39 | 220 40 | 221 41 | 222 42 | 223 43 | 228 44 | 230 45 | 231 46 | 232 47 | 233 48 | 234 -------------------------------------------------------------------------------- /data/peaks/KNN/mitdb/rpeakdetection/one_channel/10/101.tsv: -------------------------------------------------------------------------------- 1 | 520019 2 | 520380 3 | 520730 4 | 521072 5 | 521433 6 | 521819 7 | 522179 8 | 522532 9 | 522879 10 | 523213 11 | 523569 12 | 523910 13 | 524268 14 | 524611 15 | 524960 16 | 525319 17 | 525659 18 | 526028 19 | 526407 20 | 526762 21 | 527122 22 | 527489 23 | 527820 24 | 528152 25 | 528500 26 | 528879 27 | 529220 28 | 529571 29 | 529949 30 | 530317 31 | 530682 32 | 531060 33 | 531436 34 | 531770 35 | 532010 36 | 532479 37 | 532860 38 | 533230 39 | 533592 40 | 533950 41 | 534310 42 | 534680 43 | 535050 44 | 535413 45 | 535763 46 | 536111 47 | 536488 48 | 536879 49 | 537278 50 | 537651 51 | 538047 52 | 538407 53 | 538741 54 | 539120 55 | 539500 56 | 539870 57 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637890 323 | 638233 324 | 638582 325 | 638912 326 | 639248 327 | 639588 328 | 639940 329 | 640281 330 | 640643 331 | 641020 332 | 641390 333 | 641731 334 | 642066 335 | 642430 336 | 642806 337 | 643170 338 | 643549 339 | 643907 340 | 644261 341 | 644623 342 | 645006 343 | 645389 344 | 645743 345 | 646092 346 | 646445 347 | 646828 348 | 647188 349 | 647563 350 | 647928 351 | 648285 352 | 648641 353 | 649000 354 | 649365 355 | 649745 356 | -------------------------------------------------------------------------------- /data/peaks/KNN/mitdb/rpeakdetection/two_channels/20/103.tsv: -------------------------------------------------------------------------------- 1 | 520188 2 | 520514 3 | 520855 4 | 521170 5 | 521474 6 | 521779 7 | 522093 8 | 522427 9 | 522734 10 | 523050 11 | 523346 12 | 523633 13 | 523926 14 | 524224 15 | 524551 16 | 524877 17 | 525191 18 | 525516 19 | 525811 20 | 526119 21 | 526430 22 | 526773 23 | 527092 24 | 527433 25 | 527754 26 | 528047 27 | 528349 28 | 528651 29 | 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629912 343 | 630237 344 | 630553 345 | 630889 346 | 631206 347 | 631518 348 | 631819 349 | 632132 350 | 632453 351 | 632769 352 | 633089 353 | 633395 354 | 633691 355 | 633971 356 | 634272 357 | 634607 358 | 634936 359 | 635270 360 | 635598 361 | 635925 362 | 636232 363 | 636575 364 | 636928 365 | 637269 366 | 637609 367 | 637935 368 | 638266 369 | 638590 370 | 638928 371 | 639272 372 | 639590 373 | 639928 374 | 640231 375 | 640559 376 | 640874 377 | 641192 378 | 641536 379 | 641855 380 | 642152 381 | 642468 382 | 642771 383 | 643092 384 | 643418 385 | 643749 386 | 644053 387 | 644369 388 | 644673 389 | 644986 390 | 645292 391 | 645607 392 | 645952 393 | 646273 394 | 646579 395 | 646895 396 | 647219 397 | 647551 398 | 647873 399 | 648232 400 | 648551 401 | 648877 402 | 649199 403 | 649539 404 | 649879 405 | -------------------------------------------------------------------------------- /data/peaks/KNN/mitdb/rpeakdetection/two_channels/50/101.tsv: -------------------------------------------------------------------------------- 1 | 520006 2 | 520378 3 | 520730 4 | 521072 5 | 521433 6 | 521806 7 | 522166 8 | 522532 9 | 522867 10 | 523213 11 | 523556 12 | 523907 13 | 524255 14 | 524611 15 | 524959 16 | 525307 17 | 525660 18 | 526015 19 | 526407 20 | 526762 21 | 527122 22 | 527477 23 | 527819 24 | 528152 25 | 528500 26 | 528867 27 | 529218 28 | 529571 29 | 529936 30 | 530304 31 | 530682 32 | 531059 33 | 531423 34 | 531770 35 | 532008 36 | 532466 37 | 532858 38 | 533229 39 | 533592 40 | 533950 41 | 534309 42 | 534680 43 | 535050 44 | 535413 45 | 535763 46 | 536111 47 | 536475 48 | 536865 49 | 537265 50 | 537651 51 | 538034 52 | 538407 53 | 538741 54 | 539117 55 | 539500 56 | 539870 57 | 540211 58 | 540562 59 | 540930 60 | 541300 61 | 541659 62 | 542026 63 | 542391 64 | 542734 65 | 543080 66 | 543460 67 | 543840 68 | 544200 69 | 544550 70 | 544909 71 | 545279 72 | 545650 73 | 546029 74 | 546407 75 | 546750 76 | 547089 77 | 547450 78 | 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157 | 576271 158 | 576635 159 | 576978 160 | 577326 161 | 577689 162 | 578072 163 | 578456 164 | 578825 165 | 579187 166 | 579889 167 | 580260 168 | 580642 169 | 581017 170 | 581374 171 | 581730 172 | 582103 173 | 582480 174 | 582855 175 | 583225 176 | 583580 177 | 583957 178 | 584301 179 | 584676 180 | 585055 181 | 585411 182 | 585753 183 | 586101 184 | 586473 185 | 586860 186 | 587213 187 | 587583 188 | 587919 189 | 588263 190 | 588622 191 | 589001 192 | 589365 193 | 589720 194 | 590073 195 | 590430 196 | 590782 197 | 591152 198 | 591524 199 | 591863 200 | 592208 201 | 592527 202 | 592855 203 | 593200 204 | 593537 205 | 593871 206 | 594209 207 | 594558 208 | 594900 209 | 595257 210 | 595631 211 | 596008 212 | 596361 213 | 596711 214 | 597073 215 | 597459 216 | 597831 217 | 598200 218 | 598566 219 | 598905 220 | 599252 221 | 599619 222 | 599983 223 | 600341 224 | 600686 225 | 601036 226 | 601389 227 | 601755 228 | 602120 229 | 602477 230 | 602830 231 | 603165 232 | 603500 233 | 603858 234 | 604222 235 | 604566 236 | 604900 237 | 605242 238 | 605574 239 | 605929 240 | 606308 241 | 606667 242 | 607011 243 | 607359 244 | 607679 245 | 608009 246 | 608351 247 | 608704 248 | 609051 249 | 609391 250 | 610106 251 | 610493 252 | 610874 253 | 611256 254 | 611610 255 | 611959 256 | 612333 257 | 612701 258 | 613061 259 | 613416 260 | 613768 261 | 614121 262 | 614483 263 | 614859 264 | 615223 265 | 615583 266 | 615928 267 | 616281 268 | 616650 269 | 617028 270 | 617386 271 | 617757 272 | 618113 273 | 618462 274 | 618818 275 | 619193 276 | 619577 277 | 619931 278 | 620276 279 | 620641 280 | 621004 281 | 621373 282 | 621757 283 | 622115 284 | 622453 285 | 622791 286 | 623154 287 | 623522 288 | 623865 289 | 624207 290 | 624558 291 | 624884 292 | 625222 293 | 625584 294 | 625964 295 | 626325 296 | 626668 297 | 627016 298 | 627367 299 | 627719 300 | 628074 301 | 628427 302 | 628777 303 | 629124 304 | 629478 305 | 629856 306 | 630237 307 | 630619 308 | 630976 309 | 631334 310 | 631688 311 | 632057 312 | 632438 313 | 632806 314 | 633166 315 | 633520 316 | 633883 317 | 634272 318 | 634641 319 | 635003 320 | 635360 321 | 635722 322 | 636093 323 | 636476 324 | 636850 325 | 637210 326 | 637550 327 | 637890 328 | 638233 329 | 638582 330 | 638912 331 | 639250 332 | 639588 333 | 639940 334 | 640281 335 | 640643 336 | 640657 337 | 641018 338 | 641390 339 | 641731 340 | 642066 341 | 642430 342 | 642806 343 | 643170 344 | 643536 345 | 643907 346 | 644261 347 | 644623 348 | 645006 349 | 645389 350 | 645743 351 | 646092 352 | 646457 353 | 646815 354 | 647188 355 | 647563 356 | 647928 357 | 648285 358 | 648641 359 | 649000 360 | 649365 361 | 649758 362 | -------------------------------------------------------------------------------- /rpeakdetection/Evaluation.py: -------------------------------------------------------------------------------- 1 | from rpeakdetection.Utility import Utility 2 | 3 | util = Utility() 4 | 5 | 6 | class Evaluation: 7 | 8 | def evaluate(self, rpeaks, name, evaluation_width, rule_based, test_index=None): 9 | real_locations = util.remove_non_beat(name, rule_based)[0] 10 | if test_index is not None: 11 | real_locations = list(filter(lambda x: x >= test_index, real_locations)) 12 | window_size = int(evaluation_width / 2) 13 | Y = list() 14 | for y in real_locations: 15 | Y.extend([y + q for q in range(-window_size, window_size)]) 16 | filtered_peaks = list() 17 | prev = 0 18 | for peak in rpeaks: 19 | if peak - prev > evaluation_width: 20 | filtered_peaks.append(peak) 21 | prev = peak 22 | correct_detected = set(filtered_peaks).intersection(set(Y)) 23 | recall = len(correct_detected) / len(real_locations) 24 | if len(rpeaks) != 0: 25 | precision = len(correct_detected) / len(rpeaks) 26 | else: 27 | precision = 0 28 | return recall, precision 29 | -------------------------------------------------------------------------------- /rpeakdetection/KNN/FeatureExtraction.py: -------------------------------------------------------------------------------- 1 | import wfdb 2 | from scipy import signal 3 | import numpy as np 4 | from scipy.interpolate import interp1d 5 | import pickle 6 | 7 | class FeatureExtraction: 8 | 9 | def extract_features(self,name, path, rpeak_locations, features_comb, window_size=None): 10 | if 'KNN_w' in features_comb: 11 | window_size = window_size 12 | else: 13 | window_size = 1 14 | if '1' in features_comb: 15 | channels = [0] 16 | elif '2' in features_comb: 17 | channels = [1] 18 | else: 19 | channels = [0, 1] 20 | filtered = 'FS' in features_comb 21 | print("Extracting features for signal " + path + "...") 22 | record = self.preprocess(channels, name, path) 23 | features_path = 'rpeakdetection/KNN/features/' 24 | if filtered: 25 | filtered_record = list() 26 | for i in range(len(channels)): 27 | filtered_channel = self.filter(record[i], features_comb) 28 | filtered_record.append(filtered_channel) 29 | record = filtered_record 30 | comb_name = features_comb[0] + '_' + features_comb[1] + '_' + features_comb[2] 31 | feat_name = features_path + name + '_' + comb_name + '.pkl' 32 | labels_name = features_path + name + '_' + comb_name + '_labels.pkl' 33 | #if write: 34 | features, labels = self.compute_features(record, rpeak_locations, comb=features_comb,window_size=window_size) 35 | #with open(feat_name, 'wb') as fid: 36 | # pickle.dump(features, fid) 37 | #with open(labels_name, 'wb') as fid: 38 | # pickle.dump(labels, fid) 39 | '''else: 40 | features = pickle.load(open(feat_name, 'rb')) 41 | labels = pickle.load(open(labels_name, 'rb'))''' 42 | return record, features, labels 43 | 44 | def preprocess(self, channels, name, path): 45 | if name == '114': 46 | if channels == [[0]]: 47 | record = wfdb.rdrecord(path, channels=[1]) 48 | elif channels == [[1]]: 49 | record = wfdb.rdrecord(path, channels=[0]) 50 | else: 51 | record = wfdb.rdrecord(path, channels=channels) 52 | else: 53 | record = wfdb.rdrecord(path, channels=channels) 54 | record = np.transpose(record.p_signal) 55 | return record 56 | 57 | def compute_features(self, record, rpeak_locations,comb, window_size): 58 | sig_len = len(record[0]) 59 | n_channels = len(record) 60 | n_regions = int(sig_len / window_size) 61 | # split record in regions of size window_size. If more then 1 channel, concatenates the regions 62 | features = np.concatenate(np.reshape(record,(n_channels,n_regions,window_size)), axis=1) 63 | if 'KNN_w' in comb: 64 | indexes = np.split(np.arange(sig_len), n_regions) 65 | labels = list(map(lambda x: int(len(set(x).intersection(set(rpeak_locations)))!=0), indexes)) 66 | else: 67 | half_qrs_width = 18 68 | labels = np.zeros(sig_len, dtype=np.int8) 69 | for peak in rpeak_locations: 70 | for q in range(peak-half_qrs_width, peak+half_qrs_width): 71 | # avoids underflow and overflow 72 | if 0 <= q < sig_len: 73 | labels[q] = 1 74 | return features, labels 75 | 76 | 77 | def filter(self, record, comb): 78 | fs = 360 79 | # cutoff low frequency to get rid of baseline wonder 80 | f1 = 5 81 | # cutoff frequency to discard high frequency noise 82 | f2 = 15 83 | Wn = np.divide([f1*2, f2*2],fs) 84 | N = 3 85 | # bandpass 86 | [a, b] = signal.butter(N, Wn, 'band') 87 | # filtering 88 | filtered = signal.filtfilt(a, b, record) 89 | if 'KNN_s' in comb: 90 | ecg_d = [0] 91 | diff = np.diff(filtered) 92 | ecg_d.extend(diff) 93 | return ecg_d 94 | else: 95 | vector = [1, 2, 0, -2, -1] 96 | int_c = 160 / fs 97 | # 5.1 since in signal 100 we must include 5 98 | b = interp1d(range(1, 6), [i * fs / 8 for i in vector])(np.arange(1, 5.1, int_c)) 99 | ecg_d = signal.filtfilt(b, 1, filtered) 100 | # print(ecg_d[:5]) 101 | ecg_d = ecg_d / np.max(ecg_d) 102 | ''' Squaring nonlinearly enhance the dominant peaks ''' 103 | ecg_s = ecg_d ** 2 104 | return ecg_s 105 | 106 | 107 | 108 | -------------------------------------------------------------------------------- /rpeakdetection/KNN/GridSearch.py: -------------------------------------------------------------------------------- 1 | from sklearn.neighbors import KNeighborsClassifier 2 | from sklearn.model_selection import GridSearchCV 3 | from sklearn import metrics 4 | import numpy as np 5 | import pickle 6 | import time 7 | 8 | class GridSearch: 9 | 10 | def predict(self, X_train, X_test, y_train, name, comb): 11 | classifier = KNeighborsClassifier() 12 | parameters = { 13 | 'n_neighbors': np.arange(1,21, 2), 14 | 'weights': ['uniform','distance'], 15 | } 16 | 17 | grid_search = GridSearchCV(classifier, 18 | parameters, 19 | scoring=metrics.make_scorer(metrics.f1_score), 20 | cv=5, 21 | n_jobs=-1, 22 | verbose=0) 23 | print("training") 24 | grid_search.fit(X_train, y_train) 25 | best_classifier = grid_search.best_estimator_ 26 | classifiers_path = 'rpeakdetection/KNN/classifiers/' 27 | comb_name = comb[0] + '_' + comb[1] + '_' + comb[2] 28 | class_name = classifiers_path + name + '_' + comb_name + '.pkl' 29 | with open(class_name, 'wb') as fid: 30 | pickle.dump(best_classifier, fid) 31 | start_time = time.time() 32 | predicted = grid_search.predict(X_test) 33 | return start_time, predicted 34 | 35 | def SSK_train(self, X_train, y_train, comb): 36 | classifier = KNeighborsClassifier() 37 | parameters = { 38 | 'n_neighbors': np.arange(1, 11, 2), 39 | 'p': [1, 2, 3], 40 | } 41 | grid_search = GridSearchCV(classifier, 42 | parameters, 43 | scoring=metrics.make_scorer(metrics.accuracy_score), 44 | cv=5, 45 | n_jobs=-1, 46 | verbose=0) 47 | print("training") 48 | grid_search.fit(X_train, y_train) 49 | class_name = 'rpeakdetection/KNN/classifiers/SSK_'+comb[1]+'_'+comb[2]+'.pkl' 50 | best_classifier = grid_search.best_estimator_ 51 | with open(class_name, 'wb') as fid: 52 | pickle.dump(best_classifier, fid) 53 | return best_classifier 54 | 55 | -------------------------------------------------------------------------------- /rpeakdetection/Utility.py: -------------------------------------------------------------------------------- 1 | import wfdb 2 | import numpy as np 3 | import os 4 | 5 | # 100 min height R wave = 0.605 -> min_height 6 | # Provare con minimo assoluto (tra tutti i segnali) 7 | # Provare con minimo relativo (uno per ogni segnale) 8 | # minimumRR = 72 samples 9 | # peakutils.indexes ( ARRAY, thresh = min_height, min_dist = minimumRR) 10 | 11 | class Utility: 12 | 13 | BEAT_ANN = ['N', 'L', 'R', 'B', 'A', 'a', 'J', 'S', 'V', 'r', 'F', 'e', 'j', 'n', 'E', '/', 'f', 'Q', '?'] 14 | 15 | def remove_non_beat(self, sample_name, rule_based): 16 | if rule_based: 17 | self.BEAT_ANN.extend(['[', '!', ']', '(BII\x00']) 18 | annotation = wfdb.rdann(sample_name, "atr") 19 | beat_ann = list() 20 | beat_sym = list() 21 | samples = annotation.sample 22 | symbols = annotation.symbol 23 | for j in range(len(annotation.sample)): 24 | if symbols[j] == '+' and rule_based: 25 | symbols[j] = annotation.aux_note[j] 26 | if symbols[j] in self.BEAT_ANN: 27 | symbol = symbols[j] 28 | peak = samples[j] 29 | beat_ann.append(peak) 30 | beat_sym.append(symbol) 31 | assert len(beat_ann) == len(beat_sym) 32 | return beat_ann, beat_sym 33 | 34 | def remove_non_beat_for_all(self, signals_dir, rule_based): 35 | symbols = dict() 36 | peaks = dict() 37 | for name in wfdb.get_record_list('mitdb'): 38 | new_peaks, new_symbol = self.remove_non_beat(signals_dir + name, rule_based) 39 | symbols[name] = new_symbol 40 | peaks[name] = new_peaks 41 | return peaks, symbols 42 | 43 | def write_annotation_peaks_file(self, file_names_path): 44 | file = open(file_names_path, "r") 45 | for line in file: 46 | name = line.replace("\n", "") 47 | ann = wfdb.rdann("../../../data/ecg/mitdb/" + name, 'atr') 48 | ann_file = open("../../../data/peaks/annotations/" + name + ".tsv", "w") 49 | for loc in ann.sample: 50 | ann_file.write("%s\n" % str(loc)) 51 | ann_file.close() 52 | 53 | 54 | 55 | 56 | 57 | -------------------------------------------------------------------------------- /rpeakdetection/pan_tompkins/pan_tompkins.py: -------------------------------------------------------------------------------- 1 | import os 2 | import numpy as np 3 | from rpeakdetection.pan_tompkins.rpeak_detector import RPeakDetector 4 | import wfdb 5 | rpd = RPeakDetector() 6 | evaluation_width = 36 7 | ecg_folder = "data/ecg/mitdb/" 8 | peaks_folder = "data/peaks/pantompkins/mitdb/" 9 | precisions = list() 10 | recalls = list() 11 | for name in wfdb.get_record_list('mitdb'): 12 | peaks = list() 13 | file = open(peaks_folder + name + '.tsv', "r") 14 | print(name) 15 | for line in file: 16 | peak = line.replace("\n", "") 17 | peaks.append(int(peak)) 18 | recall, precision = rpd.evaluate(peaks, ecg_folder + name, evaluation_width, rule_based=True) 19 | 20 | print('recall : ' + str(recall)) 21 | print('precision : ' + str(precision)) 22 | 23 | 24 | precisions.append(precision) 25 | recalls.append(recall) 26 | print("av prec") 27 | print(np.mean(precisions)) 28 | print("av recall") 29 | print(np.mean(recalls)) 30 | 31 | --------------------------------------------------------------------------------