A novel low-complexity digital filter design for wearable ECG devices

Asgari, Shadnaz; Mehrnia, Alireza

doi:10.1371/journal.pone.0175139

Cited by 21 publications

(9 citation statements)

References 27 publications

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“…This could be because the smartphone recordings are very sensitive to hand motions and electrical noise despite the presence of 50/60 Hz filter. 26 In addition, some patients were nervous about the new form of ECG recording—thus they might have unintentionally pressed on the electrodes harder than needed leading to unsteady recording. 27 Repeated exposure to S-ECG-R recordings might cause patients and physicians to become more familiar and comfortable with this approach.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the diagnostic accuracy of smartphone electrocardiogram recorder compared to standard 12 lead electrocardiography in hospital settings

Towhari

Masud

Alanazi

2019

SMJ

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Objectives: To evaluate Smartphone-based Electrocardiogram Recorders (S-ECG-R) diagnostic accuracy compared to standard 12 lead ECG. Methods: A cross-sectional comparative study was conducted in a tertiary cardiac center in Riyadh, Kingdom of Saudi Arabia from December 2017 to February 2018. A total of 403 patients underwent both standard 12 leads ECG and S-ECG-R recordings in the same time. All recordings were checked initially by an electrophysiologist to confirm the accurate diagnosis. Then, the 806 recordings were randomly distributed among 6 certified cardiologists to interpret the rhythms and to evaluate rhythms quality. Results: In this study 211 (52%) males and 192 (48%) females were included, with a mean age of 52±18 years. Of the included rhythms,149 (37%) were abnormal. The majority of which were atrial fibrillation 46 (11%), sinus tachycardia 35 (9%)and premature ventricular contractions 33 (8%). Analysis revealed an overall similar diagnostic sensitivity and specificity of S-ECG-R to the standard 12 lead ECG recording, sensitivity (97.3% versus (vs) 98%) and specificity (99.6% vs. 99.6%). However, cardiologists were more confident during interpreting standard ECG recordings in 91% of the recordings while in 71% of S-ECG-R recordings. Conclusion: The ECG rhythms produced by smartphone accessory have a good diagnostic accuracy in diagnosing arrhythmias. The utility of using S-ECG-R for out-patient is to be determined.

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Section: Discussionmentioning

confidence: 99%

Evaluation of the diagnostic accuracy of smartphone electrocardiogram recorder compared to standard 12 lead electrocardiography in hospital settings

Towhari

Masud

Alanazi

2019

SMJ

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“…Moreover, obtaining FECG signals from AECG signals is affected by large distortion from different types of interferences, especially the MECG signal, which is difficult to suppress without significantly degrading the FECG signal. Satisfactory results have been obtained in the removal of noise from AECG signals [ 15 ]. For example, Discrete Wavelet Transform (DWT) [ 16 ] structures can be used for the suppression of different types of noise, including direct current (DC) levels and wandering [ 14 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

A clustering-based method for single-channel fetal heart rate monitoring

et al. 2018

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Non-invasive fetal electrocardiography (ECG) is based on the acquisition of signals from abdominal surface electrodes. The composite abdominal signal consists of the maternal electrocardiogram along with the fetal electrocardiogram and other electrical interferences. These recordings allow for the acquisition of valuable and reliable information that helps ensure fetal well-being during pregnancy. This paper introduces a procedure for fetal heart rate extraction from a single-channel abdominal ECG signal. The procedure is composed of three main stages: a method based on wavelet for signal denoising, a new clustering-based methodology for detecting fetal QRS complexes, and a final stage to correct false positives and false negatives. The novelty of the procedure thus relies on using clustering techniques to classify singularities from the abdominal ECG into three types: maternal QRS complexes, fetal QRS complexes, and noise. The amplitude and time distance of all the local maxima followed by a local minimum were selected as features for the clustering classification. A wide set of real abdominal ECG recordings from two different databases, providing a large range of different characteristics, was used to illustrate the efficiency of the proposed method. The accuracy achieved shows that the proposed technique exhibits a competitve performance when compared to other recent works in the literature and a better performance over threshold-based techniques.

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“…"Smart" or "intelligent" clothes-"Intelligent Wear" (I-Wear)-provide the non-invasive measurements of some basic life parameters of the human body [47][48][49][50][51]. Progress in technology enables miniaturization of sophisticated sensors and places them in wearable clothes made of new, low-cost materials.…”

Section: "I-wear"-intelligent Wear-general Conceptsmentioning

confidence: 99%

A Review of the Commercially Available ECG Detection and Transmission Systems—The Fuzzy Logic Approach in the Prevention of Sudden Cardiac Arrest

Lewandowski

2021

Micromachines

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Sudden cardiac death (SCD) constitutes a major clinical and public health problem, whose death burden is comparable to the current worldwide pandemic. This comprehensive review encompasses the following topics: available rescue systems, wearable electrocardiograms (ECG), detection and transmission technology, and a newly developed fuzzy logic algorithm (FA) for heart rhythm classification which is state-of-the art in the field of SCD prevention. Project “PROTECTOR”, the Polish Rapid Transtelephonic ECG to Obtain Resuscitation for development of a rapid rescue system for patients at risk of sudden cardiac arrest (SCA), is presented. If a lethal arrhythmia is detected on the basis of FA, the system produces an alarm signal audible for bystanders and transmits the alarm message along with location to the emergency medical center. Phone guided resuscitation can be started immediately because an automated external defibrillator (AED) localization map is available. An automatic, very fast diagnosis is a unique feature of the PROTECTOR prototype. The rapid detection of SCA is based on a processor characterized by 100% sensitivity and 97.8% specificity (as measured in the pilot studies). An integrated circuit which implements FA has already been designed and a diagnosis is made within few seconds, which is extremely important in ischemic brain damage prophylaxis. This circuit could be implemented in smart implants (Sis).

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A novel low-complexity digital filter design for wearable ECG devices

Cited by 21 publications

References 27 publications

Evaluation of the diagnostic accuracy of smartphone electrocardiogram recorder compared to standard 12 lead electrocardiography in hospital settings

Evaluation of the diagnostic accuracy of smartphone electrocardiogram recorder compared to standard 12 lead electrocardiography in hospital settings

A clustering-based method for single-channel fetal heart rate monitoring

A Review of the Commercially Available ECG Detection and Transmission Systems—The Fuzzy Logic Approach in the Prevention of Sudden Cardiac Arrest

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