A survey on wireless body area networks for ehealthcare systems in residential environments

M Ghamari, B Janko, RS Sherratt, W Harwin… - Sensors, 2016 - mdpi.com
Current progress in wearable and implanted health monitoring technologies has strong
potential to alter the future of healthcare services by enabling ubiquitous monitoring of …

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 …

[LIVRE][B] Internet of things and big data analytics toward next-generation intelligence

N Dey, AE Hassanien, C Bhatt, A Ashour… - 2018 - Springer
Internet of Things and big data are two sides of the same coin. The advancement of
Information Technology (IT) has increased daily leading to connecting the physical …

A survey on big data-driven digital phenoty** of mental health

Y Liang, X Zheng, DD Zeng - Information Fusion, 2019 - Elsevier
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

Internet of Things based wireless body area network in healthcare

G Elhayatmy, N Dey, AS Ashour - Internet of things and big data analytics …, 2018 - Springer
Internet of things (IoT) based wireless body area network in healthcare moved out from
traditional ways including visiting hospitals and consistent supervision. IoT allow some …

[HTML][HTML] Predicting early warning signs of psychotic relapse from passive sensing data: an approach using encoder-decoder neural networks

DA Adler, D Ben-Zeev, VWS Tseng… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the
severity of symptomatic experiences and functional impairments vacillate over the course of …

Does smartphone use drive our emotions or vice versa? A causal analysis

Z Sarsenbayeva, G Marini, N van Berkel… - Proceedings of the …, 2020 - dl.acm.org
In this paper, we demonstrate the existence of a bidirectional causal relationship between
smartphone application use and user emotions. In a two-week long in-the-wild study with 30 …

Multi-task learning for randomized controlled trials: a case study on predicting depression with wearable data

R Dai, T Kannampallil, J Zhang, N Lv, J Ma… - Proceedings of the ACM …, 2022 - dl.acm.org
A randomized controlled trial (RCT) is used to study the safety and efficacy of new
treatments, by comparing patient outcomes of an intervention group with a control group …

Emotion trajectories in smartphone use: Towards recognizing emotion regulation in-the-wild

B Tag, Z Sarsenbayeva, AL Cox, G Wadley… - International Journal of …, 2022 - Elsevier
Emotion has long been acknowledged as an important part of technology user experience.
More recently, research has begun to catalogue ways in which people use technology to …

Patient-generated health data: dimensions, challenges, and open questions

MC Figueiredo, Y Chen - Foundations and Trends® in …, 2020 - nowpublishers.com
In this review, we present an overview of patient-generated health data (PGHD) research,
focusing on important aspects that inform and define studies in the area. We start by …