Literature DB >> 25085695

Wireless electrocardiogram transmission in ISM band: an approach towards telecardiology.

R Gupta1, M Mitra.   

Abstract

Remote monitoring of biomedical signals provides an opportunity to extend health care service to a distant patient. In this paper, a short range wireless telecardiology system is described with the objective to transmit electrocardiogram signal for remote end acquisition. The acquired signal was compressed using a combination of modified delta encoding and run length encoding technique and transmitted using a wireless transceiver operating in 2.4 GHz industrial, scientific and medical band to a distance of 400 ft. In the receiving end, error check principle was used to find any data loss before the data is reconstructed for feature extraction. With Physionet data using 8-bit quantization an average compression ratio (CR) of 12.23, percentage root mean squared difference (PRD) of 4.342 and PRD normalized (PRDN) of 9.271 were obtained. With ECG data collected from healthy volunteers, these figures came out to be 14.64, 12.92 and 13.46 respectively. An improvement of performance was observed with 10 bit quantization of ECG data. Computational simplicity of the proposed algorithm provides an opportunity to use a low end microcontroller to implement the compression in standalone hardware.

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Year:  2014        PMID: 25085695     DOI: 10.1007/s10916-014-0090-5

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  18 in total

1.  Development of a telecare system based on ZigBee mesh network for monitoring blood pressure of patients with hemodialysis in health care centers.

Authors:  Yi-Chun Du; You-Yun Lee; Yun-Yuan Lu; Chia-Hung Lin; Ming-Jei Wu; Chung-Lin Chen; Tainsong Chen
Journal:  J Med Syst       Date:  2010-06-03       Impact factor: 4.460

2.  High efficient ECG compression based on reversible round-off non-recursive 1-D discrete periodized wavelet transform.

Authors:  Cheng-Tung Ku; King-Chu Hung; Huan-Sheng Wang; Yao-Shan Hung
Journal:  Med Eng Phys       Date:  2007-02-16       Impact factor: 2.242

3.  Ubiquitous healthcare service using Zigbee and mobile phone for elderly patients.

Authors:  Hak Jong Lee; Sun Hee Lee; Kyoo-Seob Ha; Hak Chul Jang; Woo-Young Chung; Ju Young Kim; Yoon-Seok Chang; Dong Hyun Yoo
Journal:  Int J Med Inform       Date:  2008-08-29       Impact factor: 4.046

4.  An ECG signals compression method and its validation using NNs.

Authors:  Catalina Monica Fira; Liviu Goras
Journal:  IEEE Trans Biomed Eng       Date:  2008-04       Impact factor: 4.538

5.  ECG signal compression and classification algorithm with quad level vector for ECG holter system.

Authors:  Hyejung Kim; Refet Firat Yazicioglu; Patrick Merken; Chris Van Hoof; Hoi-Jun Yoo
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-09-22

6.  Wavelet packet-based compression of single lead ECG.

Authors:  B Bradie
Journal:  IEEE Trans Biomed Eng       Date:  1996-05       Impact factor: 4.538

7.  Wavelet and wavelet packet compression of electrocardiograms.

Authors:  M L Hilton
Journal:  IEEE Trans Biomed Eng       Date:  1997-05       Impact factor: 4.538

8.  An adaptive real-time ECG compression algorithm with variable threshold.

Authors:  B Furht; A Perez
Journal:  IEEE Trans Biomed Eng       Date:  1988-06       Impact factor: 4.538

9.  AZTEC, a preprocessing program for real-time ECG rhythm analysis.

Authors:  J R Cox; F M Nolle; H A Fozzard; G C Oliver
Journal:  IEEE Trans Biomed Eng       Date:  1968-04       Impact factor: 4.538

10.  Arrhythmia detection program for an ambulatory ECG monitor.

Authors:  W C Mueller
Journal:  Biomed Sci Instrum       Date:  1978 Apr 17-18
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  3 in total

1.  Compression and Encryption of ECG Signal Using Wavelet and Chaotically Huffman Code in Telemedicine Application.

Authors:  Mahsa Raeiatibanadkooki; Saeed Rahati Quchani; MohammadMahdi KhalilZade; Kambiz Bahaadinbeigy
Journal:  J Med Syst       Date:  2016-01-16       Impact factor: 4.460

Review 2.  Privacy and security in mobile health apps: a review and recommendations.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2014-12-07       Impact factor: 4.460

3.  Quality Aware Compression of Electrocardiogram Using Principal Component Analysis.

Authors:  Rajarshi Gupta
Journal:  J Med Syst       Date:  2016-03-09       Impact factor: 4.460

  3 in total

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