GitHub - gezhuang0717/Cardiac-Detection-Algorithm: Cardiac detection algorithm developed by Christos Dolopikos

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Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
.idea		.idea
DAQ		DAQ
__pycache__		__pycache__
bp_vs_grad_images		bp_vs_grad_images
.DS_Store		.DS_Store
.dockerignore		.dockerignore
.gitattributes		.gitattributes
AAD_thesis.pdf		AAD_thesis.pdf
Atach_CRTD_21_10_2020_164349_csv.zip		Atach_CRTD_21_10_2020_164349_csv.zip
Dockerfile		Dockerfile
algo_v0.py		algo_v0.py
algo_v1.py		algo_v1.py
algo_v10.py		algo_v10.py
algo_v11.py		algo_v11.py
algo_v2.py		algo_v2.py
algo_v3.py		algo_v3.py
algo_v4.5.py		algo_v4.5.py
algo_v4.py		algo_v4.py
algo_v5.py		algo_v5.py
algo_v6.py		algo_v6.py
algo_v7.py		algo_v7.py
algo_v8.py		algo_v8.py
algo_v9.py		algo_v9.py
automation_labelling_algo.py		automation_labelling_algo.py
automation_labelling_algo1.py		automation_labelling_algo1.py
automation_labelling_algo2.py		automation_labelling_algo2.py
automation_labelling_algo3.py		automation_labelling_algo3.py
blahblah.py		blahblah.py
bnn.py		bnn.py
bp_detector.py		bp_detector.py
bp_model.pkl		bp_model.pkl
bp_vs_grad_imagesfast.png		bp_vs_grad_imagesfast.png
cleaner.py		cleaner.py
cleaning_bp_angles.py		cleaning_bp_angles.py
cleansing.py		cleansing.py
clus.py		clus.py
concat.py		concat.py
concat2.py		concat2.py
daq_file.py		daq_file.py
data_reader.py		data_reader.py
decision_making.py		decision_making.py
decision_making_v2.py		decision_making_v2.py
decision_making_v3.py		decision_making_v3.py
decision_making_v4.py		decision_making_v4.py
electrogram_detector.py		electrogram_detector.py
fft.py		fft.py
filtering.py		filtering.py
filters.py		filters.py
graphical.py		graphical.py
graphs.py		graphs.py
magic_laser.py		magic_laser.py
mldata.py		mldata.py
mlp.pkl		mlp.pkl
model.pkl		model.pkl
multilayerperceptron.py		multilayerperceptron.py
paok-Sonia.pdf		paok-Sonia.pdf
paok.csv		paok.csv
paok.jpg		paok.jpg
paok.pdf		paok.pdf
perfusion.py		perfusion.py
perfusion_detector.py		perfusion_detector.py
plotter.py		plotter.py
r		r
randomForest.py		randomForest.py
rdf_condition_based.pkl		rdf_condition_based.pkl
rdf_laser_laser1_paok.pkl		rdf_laser_laser1_paok.pkl
rdf_laser_laser2_paok.pkl		rdf_laser_laser2_paok.pkl
rdf_treatment_based.pkl		rdf_treatment_based.pkl
readme.txt		readme.txt
regression_calc.py		regression_calc.py
regression_test.py		regression_test.py
requirements.txt		requirements.txt
supportVectorMachine.py		supportVectorMachine.py
svm.pkl		svm.pkl
svm_condition_based.pkl		svm_condition_based.pkl
svm_laser_laser21.pkl		svm_laser_laser21.pkl
svm_laser_laser22.pkl		svm_laser_laser22.pkl
svm_laser_laser2_paok.pkl		svm_laser_laser2_paok.pkl
svm_treatment_based.pkl		svm_treatment_based.pkl
tempecg.csv		tempecg.csv
tempper.csv		tempper.csv
test.py		test.py
test_data.csv		test_data.csv
testing_sample.py		testing_sample.py
vamos.csv		vamos.csv

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This is the work of Christos Dolopikos. 
It contains a cardiac detection algorithm (all versions) and an algorithm for registering the appropriate treatement 
given a certain cardiac condition detected by an implantable device that combines both ECG and PPG signals.

You can contact me for further questions at cdolopikos.cd@gmail.com.