An Intelligent and Power Efficient Biomedical Sensor Node for Wireless Cardiovascular Health Monitoring. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Chandra, Soumyak; Gupta, Rajarshi; Ghosh, Saurav; Mondal, Sanjoy
• Is Part Of: IETE journal of research. Volume 68:Issue 1(2022)
• Page Start: 456
• Page End: 466
• Publication Date: 2022-01-02
• Subjects: Biomedical sensor node -- Intelligent routing -- Latency -- Power efficiency -- Reliability -- Wireless patient monitoring -- ZigBee; Electronics -- Periodicals; Telecommunication -- Periodicals; Electronics; Telecommunication; Periodicals; 621.38
• DOI: 10.1080/03772063.2019.1611489
• Languages: English
• ISSNs: 0377-2063

Abstract

Abstract : Wireless human health monitoring using different techniques has been a popular research area in the last few decades. In this paper, we describe the development of a biomedical sensor node (BSN) for short-range monitoring of static cardiovascular patients using a supervisory computer. In particular, the present research focuses on developing (a) an intelligent hybrid routing algorithm which takes care of intermediate node(s) failure condition; (b) improved packet delivery ratio with the reliability and efficient use of BSN's battery power. A data compression algorithm in the BSNs further enhanced the communication channel efficiency. With 15 BSNs hardware implemented and tested over a floor area of 93 m 2 to collect electrocardiogram and finger pulse signals, we achieved average packet reception accuracy over 98.45% taken cumulatively over 200 trails, along with a latency of 1.58 s per data packet with three faulty BSNs and maximum number of allowable transmission attempts in each hop. A simulation study with the first-order radio model, using 100 BSNs under nine faulty nodes and worst-case scenario, yielded a node power consumption of 3.49 mW per packet and a latency of 22 s per data packet. The performance results are superior to those of similar published works on wireless biomedical health monitoring using wireless sensor networks. The developed system can provide a low-cost solution for patient monitoring at indoor hospital wards in developing nations like India.