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A Deep Learning Approach for PPG-based ECG Signal Generation

Author Name: Sitangshu Sekhar Biswas, Sayantan Dey, Dr.V Sarath babu, Dr.Eswar | Format: Paperback | Genre : Educational & Professional | Other Details

In this book, we have used deep learning methods for generating ECG waveform, using PPG data. Firstly, PPG data was collected using an Arduino board and a cheap heart rate sensor, to make the process economical. Then the data was post-processed using simple filtering techniques, to reduce the contamination caused by any noise. The next steps involved using a pre-created PPG-ECG dataset, to train a neural network in MATLAB. The trained network was finally tested on the data we had initially colle

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Sitangshu Sekhar Biswas, Sayantan Dey, Dr.V Sarath babu, Dr.Eswar

S.S.Biswas obtained his Bachelor of Engineering degree in Electronics and Telecommunication Engineering from Indian Institute of Engineering Science and Technology (formerly Bengal Engineering College), PG Diploma in Medical Radiography and Imaging Technology, MBA in System and M.Tech in Power Electronics and Drives, presently he is pursuing his PhD. He joined a reputed multinational software company just after completion of degree, later quit from there and now he is a nuclear scientist. He is qualified in Level-II Ultrasonic NDT technique, trained in “Design for Additive Manufacturing” and Life member of Institute of Engineers (India), Instrument Society Of India & International Association of Engineers. During his industrial carrier, few of the important activities are design of large electrical machine and power converters, analysis in Finite Element Modelling, CFD etc. His main area of interest is Induction motor control and Medical diagnostics& Instrumentation.

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