Cargando…
An Innovative Random-Forest-Based Model to Assess the Health Impacts of Regular Commuting Using Non-Invasive Wearable Sensors
Regular commutes to work can cause chronic stress, which in turn can cause a physical and emotional reaction. The recognition of mental stress in its earliest stages is very necessary for effective clinical treatment. This study investigated the impact of commuting on human health based on qualitati...
Autores principales: | Sharif, Mhd Saeed, Raj Theeng Tamang, Madhav, Fu, Cynthia H. Y., Baker, Aaron, Alzahrani, Ahmed Ibrahim, Alalwan, Nasser |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055922/ https://www.ncbi.nlm.nih.gov/pubmed/36991984 http://dx.doi.org/10.3390/s23063274 |
Ejemplares similares
-
Public employees in South-Western Norway using an e-bike or a regular bike for commuting – A cross-sectional comparison on sociodemographic factors, commuting frequency and commuting distance
por: Jahre, Anette B., et al.
Publicado: (2019) -
Applications and Innovations on Sensor-Enabled Wearable Devices
por: Torres-Sospedra, Joaquín, et al.
Publicado: (2022) -
AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES
por: Zhou, He, et al.
Publicado: (2019) -
Users’ intention to continue using mHealth services: A DEMATEL approach during the COVID-19 pandemic
por: Alzahrani, Ahmed Ibrahim, et al.
Publicado: (2022) -
An Enhanced Source Location Privacy based on Data Dissemination in Wireless Sensor Networks (DeLP)
por: Jan, Naveed, et al.
Publicado: (2019)