A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms
A Vignapiano, F Monaco, C Pagano, M Piacente… - Frontiers in …, 2023 - frontiersin.org
Introduction Depression is the leading cause of worldwide disability, until now only 3% of
patients with major depressive disorder (MDD) experiences full recovery or remission …
patients with major depressive disorder (MDD) experiences full recovery or remission …
[HTML][HTML] Digital Health and Wearable Technologies
S Karimian, F Taheri, M Farrokhi, M Farrokhi, Z Bayat… - Kindle, 2024 - preferpub.org
Digital health and wearable technologies represent a transformative wave in healthcare,
blending medical advancements with innovative technology to enhance patient care …
blending medical advancements with innovative technology to enhance patient care …
Advanced wearable medical devices and their role in transformative remote health monitoring
MU Tariq - Transformative Approaches to Patient Literacy and …, 2024 - igi-global.com
This chapter explores the ever-changing environment of wearable health technology and its
critical role in transforming modern healthcare. It goes into the historical history of these …
critical role in transforming modern healthcare. It goes into the historical history of these …
Digital technology and mental health during the COVID-19 pandemic: a narrative review with a focus on depression, anxiety, stress, and trauma
PC Guest, V Vasilevska, A Al-Hamadi, J Eder… - Frontiers in …, 2023 - frontiersin.org
The sudden appearance and devastating effects of the COVID-19 pandemic resulted in the
need for multiple adaptive changes in societies, business operations and healthcare …
need for multiple adaptive changes in societies, business operations and healthcare …
[HTML][HTML] Use of consumer wearables in health research: issues and considerations
As wearable devices, which allow individuals to track and self-manage their health, become
more ubiquitous, the opportunities are growing for researchers to use these sensors within …
more ubiquitous, the opportunities are growing for researchers to use these sensors within …
Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder
F Monaco, A Vignapiano, M Piacente… - Frontiers in Artificial …, 2024 - frontiersin.org
Background Major Depressive Disorder (MDD) is a prevalent mental health condition
characterized by persistent low mood, cognitive and physical symptoms, anhedonia (loss of …
characterized by persistent low mood, cognitive and physical symptoms, anhedonia (loss of …
Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering
C Zierer, C Behrendt, AC Lepach-Engelhardt - Journal of Affective …, 2024 - Elsevier
Background General physicians misclassify depression in more than half of the cases.
Researchers have explored the feasibility of leveraging passively collected data points, also …
Researchers have explored the feasibility of leveraging passively collected data points, also …
[HTML][HTML] Using Wearable Technology to Detect, Monitor, and Predict Major Depressive Disorder—A Scoping Review and Introductory Text for Clinical Professionals
Q Walschots, M Zarchev, M Unkel, A Kamperman - Algorithms, 2024 - mdpi.com
The rising popularity of wearable devices allows for extensive and unobtrusive collection of
personal health data for extended periods of time. Recent studies have used machine …
personal health data for extended periods of time. Recent studies have used machine …
Tackling anxiety through innovation: Development and pilot study of an in-the-moment messaging intervention for young adults
Objective Anxiety disorders are highly prevalent around the world and are associated with
significant disability, comorbidity and costs to society. Digital tools have the potential to …
significant disability, comorbidity and costs to society. Digital tools have the potential to …
A Low-Complexity Combined Encoder-LSTM-Attention Networks for EEG-based Depression Detection
Despite the high performance of existing state-of-the-art deep learning models for
depression detection using electroencephalography (EEG), they incur a heavy …
depression detection using electroencephalography (EEG), they incur a heavy …