Digital Filters for Real-Time ECG Signal Processing Using Microprocessors

Ahlstrom, Mark; Tompkins, W.J.

doi:10.1109/tbme.1985.325589

Cited by 165 publications

(62 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The noise source is in most cases the baseline noise due to the change in contact potential between the electrodes and the skin. Therefore, in general, a preprocessing process using a band pass filter (BPF) of 1 to 50 Hz is performed and a signal processing step for detecting an arrhythmia proceeds [10][11][12]. Detection of arrhythmia is mainly performed by two kinds of signal processing techniques in the frequency domain and the time domain.…”

Section: Methodsmentioning

confidence: 99%

Implementation of automatic external defibrillator using real time ventricular fibrillation detecting algorithm based on time domain analysis

Seong

Park

et al. 2017

Computer Assisted Surgery

View full text Add to dashboard Cite

The increase in mortality associated with arrhythmia is an inevitable problem of modern society such as westernized eating habits and an increase in stress due to industrialization, and the related social costs are increasing. In this regard, the supply of automatic external defibrillator (AED) used outside hospitals is increasing mainly in public institutions, and AED is a medical practice performed by non-medical personnel. Therefore, studies on arrhythmia detection algorithm to make accurate clinical judgment for proper use are increasing. In this paper, we propose a time domain analysis method to detect arrhythmia in real time and implement AED by porting it to programmable gate array and digital signal processor. The analysis of the phase domain improves the detection rate of R-peak using the differentiated electrocardiogram (ECG) waveform rather than the existing ECG waveform and makes it easy to distinguish the normal ECG from the arrhythmia signal in the phase domain. The proposed algorithm was verified by simulation using Labview and ModelSim, and it was verified that the proposed algorithm works effectively by performing animal experiments using the implemented AED.

show abstract

Section: Methodsmentioning

confidence: 99%

Implementation of automatic external defibrillator using real time ventricular fibrillation detecting algorithm based on time domain analysis

Seong

Park

et al. 2017

Computer Assisted Surgery

View full text Add to dashboard Cite

show abstract

“…One of the most useful filters is Lynn's filters (Goldschlager, 1989) and there are previous works where Lynn's filters are successfully applied to processing ECG signal (Thakor et al, 1984;Kohler et al, 2002;Ahlstrom & Tompkins, 1985). These filters present desirable properties of real-time filters like lineal phase and integer coefficients.…”

Section: Digital Filters For Ecg Signalmentioning

confidence: 99%

A DSP Practical Application: Working on ECG Signal

Vidal-Silva¹,

Philominraj²,

Rio³

2011

Applications of Digital Signal Processing

View full text Add to dashboard Cite

“…Analog filters are used to limit the SEMG signals to the 20-500 Hz frequency range (SENIAM (2008)). The microcontrolled system implements a digital real-time adaptive notch filter, which maintains a running estimate of the 60 Hz power line interference (Ahlstrom & Tompkins (1985)). The data is transferred to a personal computer through a serial interface.…”

Section: Experimental Protocol and Data Acquisitionmentioning

confidence: 99%