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Automatic Health Pattern Recognition based on Vital Body Signals with Deep Learning Approach

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Frankfurt University of Applied Sciences Bachelor of Engineering's Thesis

Topic: Automatic Health Pattern Recognition based on Vital Body Signals with Deep Learning Approach

1st supervisor: Prof. Dr. Peter Nauth

2nd supervisor: Prof. Dr. Andreas Pech

References

[1] Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie. ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. Computing in Cardiology (CinC) Conference 2017 paper

[2] Shenda Hong, Yuxi Zhou, Meng Wu, Qingyun Wang, Junyuan Shang, Hongyan Li and Junqing Xie. Combining Deep Neural Networks and Engineered Features for Cardiac Arrhythmia Detection from ECG Recordings. Physiological Measurement 2019 paper

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