Energy efficiency in wireless sensor networks: A top-down survey
T Rault, A Bouabdallah, Y Challal - Computer networks, 2014 - Elsevier
The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On
the one hand, energy-constrained sensors are expected to run autonomously for long …
the one hand, energy-constrained sensors are expected to run autonomously for long …
Wearable, environmental, and smartphone-based passive sensing for mental health monitoring
M Sheikh, M Qassem, PA Kyriacou - Frontiers in digital health, 2021 - frontiersin.org
Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …
widely employed for the monitoring of mental health. Variations in parameters such as …
Digital behaviour change interventions to break and form habits
Digital behaviour change interventions, particularly those using pervasive computing
technology, hold great promise in supporting users to change their behaviour. However …
technology, hold great promise in supporting users to change their behaviour. However …
Ubiquitous WSN for healthcare: Recent advances and future prospects
Wireless sensor networks (WSNs) have witnessed rapid advancement in medical
applications from real-time telemonitoring and computer-assisted rehabilitation to …
applications from real-time telemonitoring and computer-assisted rehabilitation to …
Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep
The objectives of this review were to evaluate the use of consumer-targeted wearable and
mobile sleep monitoring technology, identify gaps in the literature and determine the …
mobile sleep monitoring technology, identify gaps in the literature and determine the …
Bewell: Sensing sleep, physical activities and social interactions to promote wellbeing
Smartphone sensing and persuasive feedback design is enabling a new generation of
wellbeing apps capable of automatically monitoring multiple aspects of physical and mental …
wellbeing apps capable of automatically monitoring multiple aspects of physical and mental …
[HTML][HTML] Predicting depression in adolescents using mobile and wearable sensors: multimodal machine learning–based exploratory study
Background: Depression levels in adolescents have trended upward over the past several
years. According to a 2020 survey by the National Survey on Drug Use and Health, 4.1 …
years. According to a 2020 survey by the National Survey on Drug Use and Health, 4.1 …
A survey of energy-efficient context recognition systems using wearable sensors for healthcare applications
Human context recognition (HCR) from on-body sensor networks is an important and
challenging task for many healthcare applications because it offers continuous monitoring …
challenging task for many healthcare applications because it offers continuous monitoring …
[图书][B] Healthcare data analytics
CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …
Analytics provides an understanding of the analytical techniques currently available to solve …
[HTML][HTML] Using mobile phone sensor technology for mental health research: integrated analysis to identify hidden challenges and potential solutions
Background Mobile phone sensor technology has great potential in providing behavioral
markers of mental health. However, this promise has not yet been brought to fruition …
markers of mental health. However, this promise has not yet been brought to fruition …