Smart healthcare in the age of AI: recent advances, challenges, and future prospects
The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
Internet of things based distributed healthcare systems: a review
To strengthen healthcare industry, lot of research work is being done to explore new,
accurate and efficient technology for healthcare industry that can monitor and keep track of …
accurate and efficient technology for healthcare industry that can monitor and keep track of …
Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone
A Nemcova, I Jordanova, M Varecka, R Smisek… - … Signal Processing and …, 2020 - Elsevier
Smartphones can be used as multifunctional devices for instant monitoring of the users'
health. In this study, we proposed methods for the estimation of heart rate (HR), blood …
health. In this study, we proposed methods for the estimation of heart rate (HR), blood …
Deep learning-based ambient assisted living for self-management of cardiovascular conditions
Abstract According to the World Health Organization, cardiovascular diseases contribute to
17.7 million deaths per year and are rising with a growing ageing population. In order to …
17.7 million deaths per year and are rising with a growing ageing population. In order to …
A survey of sensors in healthcare workflow monitoring
RS Antunes, LA Seewald, VF Rodrigues… - ACM Computing …, 2018 - dl.acm.org
Activities of a clinical staff in healthcare environments must regularly be adapted to new
treatment methods, medications, and technologies. This constant evolution requires the …
treatment methods, medications, and technologies. This constant evolution requires the …
Investigation on pulse wave forward peak detection and its applications in cardiovascular health
Objective: The contours of the pulse wave vary greatly, which affect the accuracy of pulse
wave peak detection and the reliability of subsequent peak-based cardiovascular health …
wave peak detection and the reliability of subsequent peak-based cardiovascular health …
[HTML][HTML] Functional and technical aspects of self-management mHealth apps: systematic app search and literature review
L Alwakeel, K Lano - JMIR Human Factors, 2022 - humanfactors.jmir.org
Background Although the past decade has witnessed the development of many self-
management mobile health (mHealth) apps that enable users to monitor their health and …
management mobile health (mHealth) apps that enable users to monitor their health and …
Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
P Nooralishahi, CK Loo, LW Shiung - Biomedical Signal Processing and …, 2019 - Elsevier
Remote heart rate measurement has many powerful applications, such as measuring stress
in the workplace, and the analysis of the impact of cognitive tasks on breathing and heart …
in the workplace, and the analysis of the impact of cognitive tasks on breathing and heart …
Enhancing the robustness of smartphone photoplethysmography: A signal quality index approach
Heart rate variability (HRV) provides essential health information such as the risks of heart
attacks and mental disorders. However, inconvenience related to the accurate detection of …
attacks and mental disorders. However, inconvenience related to the accurate detection of …
Improved heart-rate measurement from mobile face videos
JP Lomaliza, H Park - Electronics, 2019 - mdpi.com
Newtonian reaction to blood influx into the head at each heartbeat causes subtle head
motion at the same frequency as the heartbeats. Thus, this head motion can be used to …
motion at the same frequency as the heartbeats. Thus, this head motion can be used to …