Biomedical sensors provide an interface between the electrophysiological activity of different body organs and the instruments those facilitate an in-depth analysis of the pathological conditions. They constitute the most important part of a biomedical health monitoring system. Electrocardiogram (ECG), Photoplethysmogram (PPG), Blood pressure (BP) and respiration are the most fundamental cardiac and respiratory function indicators in a human body. This chapter is aimed to provide a brief overview of these sensors and interfacing techniques for digitized acquisition. © Springer International Publishing AG 2017.

RAJARSHI GUPTA

Applied Physics

University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

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The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

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It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

Biomedical Sensors and Their Interfacing

Smart Sensors, Measurement and Instrumentation

The book is focused on the area of remote processing of ECG in the context of telecardiology, an emerging area in the field of Biomedical Engineering Application. Considering the poor infrastructure and inadequate numbers of physicians in rural healthcare clinics in India and other developing nations, telemedicine services assume special importance. Telecardiology, a specialized area of telemedicine, is taken up in this book considering the importance of cardiac diseases, which is prevalent in the population under discussion. The main focus of this book is to discuss different aspects of ECG acquisition, its remote transmission and computerized ECG signal analysis for feature extraction. It also discusses ECG compression and application of standalone embedded systems, to develop a cost effective solution of a telecardiology system. © 2014 Springer India. All rights are reserved.

ECG Acquisition and Automated Remote Processing

ECG acquisition and automated remote processing

Remote health monitoring is a prominent area in modern biomedical research. This involves collection in different biomedical signals from patient using information and communication technology with the objective of remote end assessment of these vital conditions. This paper describes a short range centralized health monitoring system to acquire electrocardiogram (ECG) data using wireless ZigBee communication for computerized analysis. A prototype compact patient data collection system based on ATmega16L microcontroller was developed to collect and compress single lead ECG data for wireless transfer to a centralized station for remote end processing. A state of the art developed software in the central station controlled the patient modules and post acquisition data analysis. Test results with Physionet data and ECG collected from volunteers shown satisfactory result. Average compression achieved using 70 ECG files was 6.93 with average PRD and PRDN of 1.1343 and 8.4645 respectively. Feature extraction results using receiving end ECG data showed an average variance of 0.12%. © 2014 IEEE.

2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite, GHTC-SAS 2014

Short range centralized cardiac health monitoring system based on ZigBee communication

This paper illustrates a wireless system developed for offline ECG transmission and its remote processing. At the transmit end, a standalone embedded system collects short duration ECG samples from the source, stores them in a RAM and then encodes these using a customized bi-phase modulation for offline transmission in ISM band. At the receive end, another embedded system extracts ECG data from the demodulated output of the wireless receiver and delivers to a desktop computer using the serial port. An application software stores these samples in a text file. At first, the bit error and packet error are computed from the received dataset. Then, computed ECG wave durations and intervals along with lead data plot are generated on a Graphical User Interface for preliminary level diagnosis. Test results with synthetic ECG from PTB diagnostic ECG database (ptb-db) for short range of communication are reported. © 2012 Informa UK, Ltd.

Journal	Data powered by TypesetSmart Sensors, Measurement and Instrumentation
Publisher	Data powered by TypesetSpringer International Publishing
ISSN	2194-8402
Open Access	No