Wearable devices for continuous monitoring of biosignals: Challenges and opportunities

T Stuart, J Hanna, P Gutruf - APL bioengineering, 2022 - pubs.aip.org
The ability for wearable devices to collect high-fidelity biosignals continuously over weeks
and months at a time has become an increasingly sought-after characteristic to provide …

[HTML][HTML] The current state of mobile phone apps for monitoring heart rate, heart rate variability, and atrial fibrillation: narrative review

KHC Li, FA White, T Tipoe, T Liu… - JMIR mHealth and …, 2019 - mhealth.jmir.org
Background: Mobile phone apps capable of monitoring arrhythmias and heart rate (HR) are
increasingly used for screening, diagnosis, and monitoring of HR and rhythm disorders such …

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

O Faust, A Shenfield, M Kareem, TR San… - Computers in biology …, 2018 - Elsevier
Atrial Fibrillation (AF), either permanent or intermittent (paroxysnal AF), increases the risk of
cardioembolic stroke. Accurate diagnosis of AF is obligatory for initiation of effective …

Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis

NJ Welton, A McAleenan, HHZ Thom… - Health technology …, 2017 - discovery.ucl.ac.uk
BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk
of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been …

Stacking segment-based CNN with SVM for recognition of atrial fibrillation from single-lead ECG recordings

QH Nguyen, BP Nguyen, TB Nguyen, TTT Do… - … Signal Processing and …, 2021 - Elsevier
Background and objective Atrial fibrillation (AF) is the most common form of cardiac rhythm
disorder. Early detection of AF can result in a lower risk of stroke, heart failure, systemic …

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

M Shabaan, K Arshid, M Yaqub, F Jinchao… - BMC medical informatics …, 2020 - Springer
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 …

Automated detection of atrial fibrillation in ECG signals based on wavelet packet transform and correlation function of random process

J Wang, P Wang, S Wang - Biomedical Signal Processing and Control, 2020 - Elsevier
Atrial fibrillation (AF) is a common cardiac arrhythmia in clinic. The traditional AF detection
using visual inspection by trained physicians is an inefficient and burdensome task. In this …

Early detection of atrial fibrillation based on ECG signals

N Ahmed, Y Zhu - Bioengineering, 2020 - mdpi.com
Atrial fibrillation, often called AF is considered to be the most common type of cardiac
arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate …

A review of atrial fibrillation detection methods as a service

O Faust, EJ Ciaccio, UR Acharya - International journal of environmental …, 2020 - mdpi.com
Atrial Fibrillation (AF) is a common heart arrhythmia that often goes undetected, and even if it
is detected, managing the condition may be challenging. In this paper, we review how the …

Multiclass classifier based cardiovascular condition detection using smartphone mechanocardiography

Z Iftikhar, O Lahdenoja, M Jafari Tadi, T Hurnanen… - Scientific reports, 2018 - nature.com
Cardiac translational and rotational vibrations induced by left ventricular motions are
measurable using joint seismocardiography (SCG) and gyrocardiography (GCG) …