[HTML][HTML] Multilingual markers of depression in remotely collected speech samples: A preliminary analysis
Background Speech contains neuromuscular, physiological and cognitive components, and
so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate …
so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate …
[HTML][HTML] The feasibility of implementing remote measurement technologies in psychological treatment for depression: mixed methods study on engagement
Background Remote measurement technologies (RMTs) such as smartphones and
wearables can help improve treatment for depression by providing objective, continuous …
wearables can help improve treatment for depression by providing objective, continuous …
[HTML][HTML] Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep …
Background Prior research has associated spoken language use with depression, yet
studies often involve small or non-clinical samples and face challenges in the manual …
studies often involve small or non-clinical samples and face challenges in the manual …
[PDF][PDF] Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language.
Mental health risk prediction is a growing field in the speech community, but many studies
are based on small corpora. This study illustrates how variations in test and train set sizes …
are based on small corpora. This study illustrates how variations in test and train set sizes …
[HTML][HTML] Understanding the subjective experience of long-term remote measurement technology use for symptom tracking in people with depression: multisite …
KM White, E Dawe-Lane, S Siddi, F Lamers… - JMIR human …, 2023 - humanfactors.jmir.org
Background: Remote measurement technologies (RMTs) have the potential to revolutionize
major depressive disorder (MDD) disease management by offering the ability to assess …
major depressive disorder (MDD) disease management by offering the ability to assess …
Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment
Background In time, we may be able to detect the early onset of symptoms of depression
and even predict relapse using behavioural data gathered through mobile technologies …
and even predict relapse using behavioural data gathered through mobile technologies …
COVID-19's impact on mental health—the hour of computational aid?
Welcome to the fourth issue of IEEE Transactions on Computational Social Systems (TCSS)
in 2022. First, we have some exciting news to share. In late June, Clarivate updated the …
in 2022. First, we have some exciting news to share. In late June, Clarivate updated the …
[HTML][HTML] Multilingual markers of depression in remotely collected speech samples
Background: Speech contains neuromuscular, physiological, and cognitive components and
so is a potential biomarker of mental disorders. Previous studies have indicated that …
so is a potential biomarker of mental disorders. Previous studies have indicated that …
[PDF][PDF] Exploring Engagement with Remote Measurement Technologies in Major Depressive Disorder
KM White - 2023 - kclpure.kcl.ac.uk
Background Remote Measurement Technologies (RMTs), including smartphone
applications (apps) and wearable devices, offer the potential to revolutionise the monitoring …
applications (apps) and wearable devices, offer the potential to revolutionise the monitoring …
Automatic Speech Recognition as a Clinical Tool: Implications for Speech Assessment and Intervention
SE Gutz - 2022 - search.proquest.com
Clinician judgments for speech assessment and treatment are subjective and costly,
especially for large datasets. Automatic speech recognition (ASR) systems, designed to …
especially for large datasets. Automatic speech recognition (ASR) systems, designed to …