Machine learning for healthcare wearable devices: the big picture
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …
been actively researched over the last few years. It holds promising opportunities as it is …
Intelligent wearable systems: Opportunities and challenges in health and sports
Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …
personalized real-time data and continuously monitor an individual's health status and …
Online fall detection using recurrent neural networks on smart wearable devices
Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …
Employing of machine learning and wearable devices in healthcare system: tasks and challenges
HS Saad, JFW Zaki, MM Abdelsalam - Neural Computing and Applications, 2024 - Springer
Disease outbreaks are nowadays a critical issue despite the development and rapid growth
of technology. One of the major challenges facing healthcare professionals and healthcare …
of technology. One of the major challenges facing healthcare professionals and healthcare …
Fall detection in the elderly using different machine learning algorithms with optimal window size
Mobility deteriorates with age, and falls become more frequent, resulting in injuries or even
death. However, many such injuries and deaths can be prevented, resulting in financial …
death. However, many such injuries and deaths can be prevented, resulting in financial …
Measuring players' importance in basketball using the generalized Shapley value
R Metulini, G Gnecco - Annals of Operations Research, 2023 - Springer
Measuring players' importance in team sports to help coaches and staff with the aim of
winning the game is gaining relevance, mainly because of the advent of new data and …
winning the game is gaining relevance, mainly because of the advent of new data and …
A class-imbalanced deep learning fall detection algorithm using wearable sensors
J Zhang, J Li, W Wang - Sensors, 2021 - mdpi.com
Falling represents one of the most serious health risks for elderly people; it may cause
irreversible injuries if the individual cannot obtain timely treatment after the fall happens …
irreversible injuries if the individual cannot obtain timely treatment after the fall happens …
A machine learning approach for the classification of falls and activities of daily living in agricultural workers
Population aging is a global trend, and the highest proportion of elderly people in the
workforce per unit of population is found in agricultural areas. However, few systematic …
workforce per unit of population is found in agricultural areas. However, few systematic …
Machine learning in wearable healthcare devices
The major characteristic of wearable Technology is it is possible to wear on, in, and much
closer to the body. Because of said characteristics, it is termed wearable. Their power is …
closer to the body. Because of said characteristics, it is termed wearable. Their power is …
Review on the wearable health-care monitoring system with robust motion artifacts reduction techniques
A Prabakaran, E Rufus - Sensor Review, 2022 - emerald.com
Purpose Wearables are gaining prominence in the health-care industry and their use is
growing. The elderly and other patients can use these wearables to monitor their vitals at …
growing. The elderly and other patients can use these wearables to monitor their vitals at …