Title: Biomedical signal processing for health monitoring applications: a review

Authors: Shilpa Sonawani; Kailas Patil; Prabhu Natarajan

Addresses: School of Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University, India ' Department of Computer Engineering, Vishwakarma University, India ' Department of Computer Science, DigiPen Institute of Technology, Singapore

Abstract: Biomedical health monitoring systems are evolving rapidly and using non-invasive and cost effective sensors. These systems can monitor physiological parameters of the body to monitor health conditions and provide feedback. These new generation systems can use advance technologies to build intelligent systems for health monitoring and timely diseases detection and diagnosis. Biomedical signal processing and analysis of the patterns in the signals plays important role in building efficient systems, life sciences and research and is rapidly expanding in this domain. This review paper is significant as no existing review paper is giving complete information on biomedical signal processing phases as a whole. It makes four contributions; first, it gives activity flow for developing biomedical signal processing systems. Second, reviews various recent applications researched and kinds of low cost, non-invasive sensors used for biomedical health monitoring. Third, categorisation and enlisting of signal processing techniques like signal sampling, segmentation, filtering, feature extraction, dimensionality reduction and machine learning techniques in healthcare domain. Fourth, it reviews challenges in using signal processing techniques and gives future perspectives which can be helpful for the researchers to use advance techniques to build intelligent systems for reliable decision making.

Keywords: biomedical signal processing; signal pre-processing; biologicals signals; review.

DOI: 10.1504/IJASS.2023.129065

International Journal of Applied Systemic Studies, 2023 Vol.10 No.1, pp.44 - 69

Accepted: 28 Apr 2021
Published online: 17 Feb 2023 *