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Proceedings ArticleDOI

Short range centralized cardiac health monitoring system based on ZigBee communication

TLDR
A short range centralized health monitoring system to acquire electrocardiogram (ECG) data using wireless ZigBee communication for computerized analysis of patient modules and post acquisition data analysis is described.
Abstract
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%.

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Citations
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An IoT based patient monitoring system using raspberry Pi

TL;DR: Monitoring patient's body temperature, respiration rate, heart beat and body movement using Raspberry Pi board brings out the solution for effective patient monitoring at reduced cost and also reduces the trade-off between patient outcome and disease management.
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Real time patient monitoring system based on Internet of Things

TL;DR: An intelligent patient monitoring system for monitoring the patients' health condition automatically through sensors based connected networks that can able to detect the critical condition of a patient by processing sensors data and instantly provides push notification to doctors/nurses as well as hospital in-charge personal.
Proceedings ArticleDOI

IOT Based Remote Patient Health Monitoring System

TL;DR: Remote patient health monitoring system is an IoT device which could be used with patients or elderly at the authors' homes whose real time health readings such as temperature, blood pressure and electro-cardiogram could be monitored remotely on a hand held device.
Proceedings ArticleDOI

Compression of Multilead Electrocardiogram Using Principal Component Analysis and Machine Learning Approach

TL;DR: A multi-lead Electrocardiogram (ECG) data compression using principal component analysis (PCA) combined with a machine learning technique is proposed to achieve a high compression ratio (CR) with low reconstruction error (within 2% percentage root mean squared difference, or, PRD).
Journal ArticleDOI

Quality Aware Compression of Electrocardiogram Using Principal Component Analysis

TL;DR: A quality aware compression method of single lead ECG is described using principal component analysis (PCA), which yields better results than recently published works on quality controlled ECG compression.
References
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Journal ArticleDOI

ECG data compression techniques-a unified approach

TL;DR: The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.
Journal ArticleDOI

Ubiquitous healthcare service using Zigbee and mobile phone for elderly patients

TL;DR: Despite the many problems still encountered such as technological problems related to sensors and some problems like battery replacement, the ZigBee could be one of components of wireless u-healthcare systems in the future due to its advantages of lower power consumption.
Journal ArticleDOI

A Reliable Transmission Protocol for ZigBee-Based Wireless Patient Monitoring

TL;DR: A reliable transmission protocol based on anycast routing for wireless patient monitoring, which integrates fall detection, indoor positioning, and ECG monitoring and is fast and reliable and can seamlessly integrate with the next generation technology of wireless wide area network, worldwide interoperability for microwave access.
Journal ArticleDOI

Compression of the ambulatory ECG by average beat subtraction and residual differencing

TL;DR: It is demonstrated that for the low sample rate and coarse quantization required for ambulatory recording, without sufficient temporal resolution in beat location, beat subtraction does not significantly improve compression, and may even worsen compression performance.
Proceedings ArticleDOI

An ECG compression technique for telecardiology application

TL;DR: An offline ECG compression technique, based on encoding of successive sample differences is proposed, which is presently being implemented in a wireless telecardiology system using a standalone embedded system.