Acquiring and analyzing electrocardiograms via smartphone to detect cardiovascular abnormalities

Makki, Mustapha; Saadé, Georges; Altouma, Albert G.; Al-Terkawi, Sami; Baobeid, Abdulla; Tafreshi, Reza

doi:10.1109/bhi.2014.6864357

Cited by 7 publications

(1 citation statement)

References 3 publications

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“…Medical professional staff analyze the data of the client/patient and inform them about necessary actions in case of emergency. Another complete smartphone-based system to detect MI with a newly developed algorithm [47] was presented and validated. The validation was performed on Physikalisch-Technische Bundesanstalt (PTB) diagnostic ECG database using Galaxy Note 2 smartphone and score 97% of sensitivity.…”

Section: Server Based Processing Of Ecgmentioning

confidence: 99%

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Shabaan

Arshid

Yaqub

et al. 2020

BMC Med Inform Decis Mak

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A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes early detection, portability and mobility of patients. This paper presents a categorical review of smartphone-based systems that can detect cardiac abnormalities by the analysis of Electrocardiogram (ECG) and Photoplethysmography (PPG) and the limitation and challenges of these system. The ECG based systems can monitor, record and forward signals for analysis and an alarm can be triggered in case of abnormality, however the limitation of smart phone’s processing capabilities, lack of storage and speed of network are major challenges. The systems based on PPG signals are non-invasive and provides mobility and portability. This study aims to critically review the existing systems, their limitation, challenges and possible improvements to serve as a reference for researchers and developers.

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Section: Server Based Processing Of Ecgmentioning

confidence: 99%

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Shabaan

Arshid

Yaqub

et al. 2020

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

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Design and implementation of a medical platform for real-time and remote ECG monitoring using DigiMesh wireless sensor network technology

Sahraoui,

Dahani,

Tigrine

et al. 2023

Res. Biomed. Eng.

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Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography

Iftikhar

Lahdenoja

Tadi

et al. 2018

Sci Rep

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Cardiac translational and rotational vibrations induced by left ventricular motions are measurable using joint seismocardiography (SCG) and gyrocardiography (GCG) techniques. Multi-dimensional non-invasive monitoring of the heart reveals relative information of cardiac wall motion. A single inertial measurement unit (IMU) allows capturing cardiac vibrations in sufficient details and enables us to perform patient screening for various heart conditions. We envision smartphone mechanocardiography (MCG) for the use of e-health or telemonitoring, which uses a multi-class classifier to detect various types of cardiovascular diseases (CVD) using only smartphone’s built-in internal sensors data. Such smartphone App/solution could be used by either a healthcare professional and/or the patient him/herself to take recordings from their heart. We suggest that smartphone could be used to separate heart conditions such as normal sinus rhythm (SR), atrial fibrillation (AFib), coronary artery disease (CAD), and possibly ST-segment elevated myocardial infarction (STEMI) in multiclass settings. An application could run the disease screening and immediately inform the user about the results. Widespread availability of IMUs within smartphones could enable the screening of patients globally in the future, however, we also discuss the possible challenges raised by the utilization of such self-monitoring systems.

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Acquiring and analyzing electrocardiograms via smartphone to detect cardiovascular abnormalities

Cited by 7 publications

References 3 publications

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Design and implementation of a medical platform for real-time and remote ECG monitoring using DigiMesh wireless sensor network technology

Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography

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