Heart rate estimation from wrist-worn photoplethysmography: A review
D Biswas, N Simões-Capela, C Van Hoof… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a low-cost, non-invasive, and optical technique used to
detect blood volume changes in the microvascular tissue bed, measured from the skin …
detect blood volume changes in the microvascular tissue bed, measured from the skin …
Systems chronotherapeutics
Chronotherapeutics aim at treating illnesses according to the endogenous biologic rhythms,
which moderate xenobiotic metabolism and cellular drug response. The molecular clocks …
which moderate xenobiotic metabolism and cellular drug response. The molecular clocks …
A deep learning approach for ECG-based heartbeat classification for arrhythmia detection
G Sannino, G De Pietro - Future Generation Computer Systems, 2018 - Elsevier
Classification is one of the most popular topics in healthcare and bioinformatics, especially
in relation to arrhythmia detection. Arrhythmias are irregularities in the rate or rhythm of the …
in relation to arrhythmia detection. Arrhythmias are irregularities in the rate or rhythm of the …
An edge-based architecture to support efficient applications for healthcare industry 4.0
Edge computing paradigm has attracted many interests in the last few years as a valid
alternative to the standard cloud-based approaches to reduce the interaction timing and the …
alternative to the standard cloud-based approaches to reduce the interaction timing and the …
Pathway of trends and technologies in fall detection: a systematic review
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …
people. Considerable expenses are allocated for the treatment of after-fall injuries and …
DeFall: Environment-independent passive fall detection using WiFi
Fall is recognized as one of the most frequent accidents among elderly people. Many
solutions, either wearable or noncontact, have been proposed for fall detection (FD) …
solutions, either wearable or noncontact, have been proposed for fall detection (FD) …
Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE
SK Pandey, RR Janghel - Australasian physical & engineering sciences in …, 2019 - Springer
Timely prediction of cardiovascular diseases with the help of a computer-aided diagnosis
system minimizes the mortality rate of cardiac disease patients. Cardiac arrhythmia detection …
system minimizes the mortality rate of cardiac disease patients. Cardiac arrhythmia detection …
Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers
In this paper we develop statistical algorithms to infer possible cardiac pathologies, based
on data collected from 24 h Holter recording over a sample of 2829 labelled patients; labels …
on data collected from 24 h Holter recording over a sample of 2829 labelled patients; labels …
[HTML][HTML] Increasing fall risk awareness using wearables: A fall risk awareness protocol
A Danielsen, H Olofsen, BA Bremdal - Journal of biomedical informatics, 2016 - Elsevier
Each year about a third of elderly aged 65 or older experience a fall. Many of these falls may
have been avoided if fall risk assessment and prevention tools where available in a daily …
have been avoided if fall risk assessment and prevention tools where available in a daily …
Fall detection from electrocardiogram (ecg) signals and classification by deep transfer learning
Fall is a prominent issue due to its severe consequences both physically and mentally. Fall
detection and prevention is a critical area of research because it can help elderly people to …
detection and prevention is a critical area of research because it can help elderly people to …