Parkinson's disease management via wearable sensors: a systematic review
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
Comprehensive review of vision-based fall detection systems
Vision-based fall detection systems have experienced fast development over the last years.
To determine the course of its evolution and help new researchers, the main audience of this …
To determine the course of its evolution and help new researchers, the main audience of this …
Remote healthcare for elderly people using wearables: A review
JO Olmedo-Aguirre, J Reyes-Campos… - Biosensors, 2022 - mdpi.com
The growth of health care spending on older adults with chronic diseases faces major
concerns that require effective measures to be adopted worldwide. Among the main …
concerns that require effective measures to be adopted worldwide. Among the main …
[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
An eight-camera fall detection system using human fall pattern recognition via machine learning by a low-cost android box
F Shu, J Shu - Scientific reports, 2021 - nature.com
Falls are a leading cause of unintentional injuries and can result in devastating disabilities
and fatalities when left undetected and not treated in time. Current detection methods have …
and fatalities when left undetected and not treated in time. Current detection methods have …
A survey of IoT-based fall detection for aiding elderly care: Sensors, methods, challenges and future trends
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …
Contactless tracking of humans using non-contact triboelectric sensing technology: Enabling new assistive applications for the elderly and the visually impaired
Continuous monitoring of human motion and its interaction with the surrounding
environment is crucial for healthcare applications such as early diagnosis of neurological …
environment is crucial for healthcare applications such as early diagnosis of neurological …
Wearable stretch sensors for human movement monitoring and fall detection in ergonomics
Wearable sensors are beneficial for continuous health monitoring, movement analysis,
rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch …
rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch …
Wearable fall detector using recurrent neural networks
F Luna-Perejón, MJ Domínguez-Morales… - Sensors, 2019 - mdpi.com
Falls have become a relevant public health issue due to their high prevalence and negative
effects in elderly people. Wearable fall detector devices allow the implementation of …
effects in elderly people. Wearable fall detector devices allow the implementation of …
Vision-based fall event detection in complex background using attention guided bi-directional LSTM
Y Chen, W Li, L Wang, J Hu, M Ye - IEEE Access, 2020 - ieeexplore.ieee.org
Fall event, as one of the greatest risks to the elderly, its detection has been a hot research
issue in the solitary scene in recent years. Nevertheless, most current researches are …
issue in the solitary scene in recent years. Nevertheless, most current researches are …