Novel methods of faster cardiovascular diagnosis in wireless telecardiology

Sufi, Fahim; Fang, Qiang; Khalil, Ibrahim; Mahmoud, S.A.

doi:10.1109/jsac.2009.090515

Cited by 80 publications

(39 citation statements)

References 29 publications

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“…Data compression methods also benefit the development of wireless telecardiology. Sufi et al (2009) proposed a new ECG compression algorithm for the ECG signal's transmission over a limited bandwidth network (e.g. mobile phone platform).…”

Section: Data Compression Technologymentioning

confidence: 99%

Wireless telemedicine and m-health: technologies, applications and research issues

Xiao

Takahashi

Liu

et al. 2011

IJSNET

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Telemedicine is not medicine, but it is used to compute, to communicate and to deliver high-quality medical care regardless of location. It reduces cost, time and resources. Furthermore, wireless technologies play significant roles in telemedicine, and they are therefore called wireless telemedicine or mobile-health. This paper provides a comprehensive survey on wireless telemedicine, including the relevant wireless technologies, applications and research issues.Wireless telemedicine and m-health 203 number of networks and security related projects, such as secure routing in airborne networks, network service for airborne networks, denial of service mitigation, trust management for wireless sensor network, intrusion detection for MANET and acoustic sensor network for structural health monitoring. Her primary research interests include protocol design, analysis and implementation in wireless ad hoc/sensor networks and network security.

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Section: Data Compression Technologymentioning

confidence: 99%

Wireless telemedicine and m-health: technologies, applications and research issues

Xiao

Takahashi

Liu

et al. 2011

IJSNET

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“…In recent years, biotelemetry has become more important. In [30], Sufi et al proposed ECG compression algorithms for wireless telecardiology. Complexity reduction of the noise cancellation system, particularly, in applications such as wireless biotelemetry system has been remained a topic of intense research.…”

Section: Introductionmentioning

confidence: 99%

Efficient and Simplified Adaptive Noise Cancelers for ECG Sensor Based Remote Health Monitoring

2012

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In this paper, several simple and efficient sign and error nonlinearity-based adaptive filters, which are computationally superior having multiplier free weight update loops are used for cancellation of noise in electrocardiographic (ECG) signals. The proposed implementation is suitable for applications such as biotelemetry, where large signal to noise ratios with less computational complexity are required. These schemes mostly employ simple addition, shift operations and achieve considerable speed up over the other least mean square (LMS)-based realizations. Simulation studies shows that the proposed realization gives better performance compared to existing realizations in terms of signal-to-noise ratio and computational complexity.Index Terms-Adaptive filtering, artifact, electrocardiographic (ECG), least mean square (LMS) algorithm, noise cancellation, telecardiology.

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“…A compression ratio (CR) up to 20.06 is achieved in the described scheme. In an earlier publication [20], a mobile phone platform is used for lossless ECG compression and diagnosis. The diagnostic information is extracted from compressed data itself, without the need of decompression in doctor's mobile.…”

Section: Introductionmentioning

confidence: 99%

Electrocardiogram compression technique for global system of mobile-based offline telecardiology application for rural clinics in India

Mitra

Bera

Gupta

2012

IET Sci. Meas. Technol.

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Compression of Electrocardiographic (ECG) data is an important requirement to develop an efficient telecardiology application. This study describes an offline compression technique, which is implemented for ECG transmission in a global system of mobile (GSM) network for preliminary level evaluation of patient's cardiac condition in a non-critical condition. A short-duration (5 -6 beats) ECG data from Massachusetts Institute of Technology-Beth Israel Hospital (MIT -BIH) arrhythmia database is used for the trial. The compression algorithm is based on direct processing of ECG samples in four major steps: viz., down-sampling of dataset, normalising inter-sample differences, grouping for sign and magnitude encoding, zero element compression and finally, conversion of bytes into corresponding 8 bit American standard code for information interchange (ASCII) characters. The developed software at the patient side computer also converts the compressed data file into formatted sequence of short text messages (SMSs). Using a dedicated GSM module these message are delivered to the mobile phone of the remote cardiologist. The received SMSs are to be downloaded at the authors computer for concatenation and decompression to obtain back the original ECG for visual or automated investigation. An average percentage root-meansquared difference and compression ratio values of 43.54 and 1.73 are obtained, respectively, with MIT -BIH arrhythmia data. The proposed technique is useful for rural clinics in India for preliminary level cardiac investigation.

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Novel methods of faster cardiovascular diagnosis in wireless telecardiology

Cited by 80 publications

References 29 publications

Wireless telemedicine and m-health: technologies, applications and research issues

Wireless telemedicine and m-health: technologies, applications and research issues

Efficient and Simplified Adaptive Noise Cancelers for ECG Sensor Based Remote Health Monitoring

Electrocardiogram compression technique for global system of mobile-based offline telecardiology application for rural clinics in India

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