Towards Efficient and Accurate Interpretation of Biosignals

Abstract

We investigate the methods for efficient and accurate interpretation of biosignals newlinewith the focus towards tackling the hurdles to use them for the real newlineworld remote health monitoring system. We specifically focus on the Cardio newlinebiosignals such as Electrocardiogram (ECG), and Phonocardiogram (PCG). newlineAs Per world health organization (WHO) heart disease is the leading cause of newlinedeath globally compared to any other diseases. Timely diagnosis is paramount newlineto provide appropriate treatment for preventing death due to heart disease. newlineCardio-vascular disease is one of the most prevalent health conditions affecting newlinemillions globally. Increasing geriatrics population and the increase in health newlinecare cost compounded by the unavailability of physicians have accelerated the newlinegrowth of smartphone-based telemedicine Since automated analysis and interpretation of Biosignal data could be used in the emerging areas of remote healthcare / telemedicine that can accelerate the diagnosis and treatment speed, it has motivated us to focus on this area. In this work we investigated the core issues related to the biosignal analysis and interpretations. The identified and focused issues are (a) Noise in the Biosignal,(b) Algorithms and solutions for biosignal analysis for real-world applications. (c) Challenges of acquiring and training biosignals including domain specific issues. Investigating these are very important for automated analysis of biosignals and usage of these for real world diagnostic and therapeutic purposes. newlineMajor contributions from this research are (i) Novel denoising approaches, methodologies for denoising and automated heart sound segmentation on noisy signal including the ones collected in unconstrained / non-clinical setup,(ii) Employing latest Deep learning algorithms and data driven methodologies to analyze and interpret the Biosignal data efficiently with state of the art results,(iii) Create a Biosignal data acquisition and training methodology to help overcome the issues / difficulties in collaboration between...