HCI and Affective Health: Taking stock of a decade of studies and charting future research directions

P Sanches, A Janson, P Karpashevich… - Proceedings of the …, 2019 - dl.acm.org
In the last decade, the number of articles on HCI and health has increased dramatically. We
extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of …

[HTML][HTML] Smartphone apps for the treatment of mental disorders: systematic review

I Miralles, C Granell, L Díaz-Sanahuja… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background: Smartphone apps are an increasingly popular means for delivering
psychological interventions to patients suffering from a mental disorder. In line with this …

A survey on wearable sensors for mental health monitoring

N Gomes, M Pato, AR Lourenco, N Datia - Sensors, 2023 - mdpi.com
Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion
of the population. It is one of the causes of extensive disability, and f not properly treated, it …

[HTML][HTML] Panic attack prediction using wearable devices and machine learning: development and cohort study

CH Tsai, PC Chen, DS Liu, YY Kuo… - JMIR Medical …, 2022 - medinform.jmir.org
Background: A panic attack (PA) is an intense form of anxiety accompanied by multiple
somatic presentations, leading to frequent emergency department visits and impairing the …

Survey on emotion sensing using mobile devices

K Yang, B Tag, C Wang, Y Gu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The rapid development and ubiquity of mobile and wearable devices promises to enable
researchers to monitor users' granular emotional data in a less intrusive manner …

A review on the efficacy of artificial intelligence for managing anxiety disorders

KP Das, P Gavade - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
Anxiety disorders are psychiatric conditions characterized by prolonged and generalized
anxiety experienced by individuals in response to various events or situations. At present …

Sleep, physical activity and panic attacks: A two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model

CH Tsai, M Christian, YY Kuo, CC Lu, F Lai, WL Huang - Sleep Medicine, 2024 - Elsevier
Background Sleep and physical activity suggestions for panic disorder (PD) are critical but
less surveyed. This two-year prospective cohort study aims to predict panic attacks (PA) …

Analysing IoT data for anxiety and stress monitoring: a systematic map** study and taxonomy

LS Paula, L Pfeiffer Salomão Dias… - … Journal of Human …, 2024 - Taylor & Francis
Anxiety and stress are common emotional responses for human beings, but their chronic
manifestation can lead to physical and psychological illnesses. The advancement of sensing …

Cardiorespiratory Assessments in Panic Disorder Facilitated by Wearable Devices: A Systematic Review and Brief Comparison of the Wearable Zephyr BioPatch with …

D Caldirola, S Dacco, M Grassi, A Alciati, WM Sbabo… - Brain Sciences, 2023 - mdpi.com
Abnormalities in cardiorespiratory measurements have repeatedly been found in patients
with panic disorder (PD) during laboratory-based assessments. However, recordings …

Feature selection and machine learning based multilevel stress detection from ECG signals

I Bichindaritz, C Breen, E Cole, N Keshan… - Innovation in Medicine …, 2018 - Springer
Physiological sensor analytics aims at monitoring health as the availability of sensor-
enabled portable, wearable, and implantable devices become ubiquitous in the growing …