Development of an embedded system and MATLAB-based GUI for online acquisition and analysis of ECG signal

Gupta, Rajarshi; Bera, Jitendranath; Mitra, Madhuchhanda

doi:10.1016/j.measurement.2010.05.003

Cited by 63 publications

(26 citation statements)

References 34 publications

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“…A Biometric ECG Identification using LNF in Wireless Body Area Sensor Network [3]. Development of an embedded system and matlab based GUI for online acquisition and analysis of ECG signal [4]. Design of a Low Cost ECG system: Review [5].…”

Section: Related Surveymentioning

confidence: 99%

Designing Green ECG Machine Based on Artix7 28nm FPGA

Verma¹,

Agarwal²,

Omer³

et al. 2017

GJET

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Section: Related Surveymentioning

confidence: 99%

Designing Green ECG Machine Based on Artix7 28nm FPGA

Verma¹,

Agarwal²,

Omer³

et al. 2017

GJET

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“…A serial link is preferred as it minimizes cable costs and interference effects as is the case with a parallel link. The developed MATLAB based graphical user interface (GUI) facilitates a user to control the operations on the entire system [16]. Luo S. and Jhonston P. have discussed the issues related to the inaccuracy of ECG preprocessing filters.…”

Section: Fig 2: Interferences In the Ecg Signalmentioning

confidence: 99%

A Real Time Approach: ECG Noise Reduction in Chebyshev Type II Digital Filter

Jagtap¹,

Uplane²

2012

IJCA

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It is well known that biomedical signals carry important information about the behavior of the living systems under study. With the analysis of the Electrocardiogram (ECG) signal it may be possible to predict heart problems or monitor patient recovery after a heart intervention. A proper processing of these signals enhances their physiological and clinical information. The quality of biomedical signal is degraded mainly by many sources of noise such as power line interference (PLI), baseline drift, muscle contraction noise etc. The objective of this paper is to implement the Chebyshev Type II digital filter to overcome degradation by improving ECG signal quality for quality clinical diagnosis. Different artifacts are the reason in corruption of the ECG signal. Removing noise from the biomedical signal is still challenging and a rapidly expanding field with a wide range of applications in ECG noise reduction. Present paper deals with the design of Chebyshev Type II filters including low pass, high pass, notch filters. Also the performance is tested using cascading of filters. For real time application 1711 add on card is used. Different ECG signals from MIT/BIH arrhythmia database are used for validation and compared with real time ECG signals. The objective of this paper is to implement the Chebyshev Type II digital filter to overcome degradation by improving ECG signal quality for quality clinical diagnosis. Finally results indicate noise reduction in the ECG.

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“…The prototype of the PPMS is shown in Fig. 2, and the system can miniaturize by replacing the DC power with dry battery [14].…”

Section: Hardware Design Of the Ppmsmentioning

confidence: 99%