[HTML][HTML] Digital biomarkers for depression screening with wearable devices: cross-sectional study with machine learning modeling
… based on wearable sensor data for depression screening. … -report questionnaires for
depression screening and to collect … -9) was used for depression screening. Participants …
depression screening and to collect … -9) was used for depression screening. Participants …
[HTML][HTML] Wearable devices for anxiety & depression: a scoping review
… Of those, 1461 citations were further excluded after screening their titles and abstracts. Of
the remaining 349 references, 303 publications were excluded during the full text screening. …
the remaining 349 references, 303 publications were excluded during the full text screening. …
Current advances in wearable devices and their sensors in patients with depression
S Lee, H Kim, MJ Park, HJ Jeon - Frontiers in Psychiatry, 2021 - frontiersin.org
… of depression remains limited. … wearable devices in research on depression. Here, we
collected original studies examining wearable devices for diagnosis and treatment of depression …
collected original studies examining wearable devices for diagnosis and treatment of depression …
Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning
Y Tazawa, K Liang, M Yoshimura, M Kitazawa, Y Kaise… - Heliyon, 2020 - cell.com
… algorithm to screen for depression and assess severity based on data from wearable devices.
… For each symptom evaluation session, we calculated the screening accuracy of the trained …
… For each symptom evaluation session, we calculated the screening accuracy of the trained …
[HTML][HTML] Wearable artificial intelligence for anxiety and depression: scoping review
… for anxiety and depression using data collected by wearable devices. … and depression (eg,
diagnosis, monitoring, screening, therapy, prediction, and prevention). The wearable devices …
diagnosis, monitoring, screening, therapy, prediction, and prevention). The wearable devices …
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
… Further 634 publications were excluded after screening titles and abstracts of the remaining
963 … depression scores using wearable device data, but it is not optimal (RMSE 3.76-4.55). …
963 … depression scores using wearable device data, but it is not optimal (RMSE 3.76-4.55). …
[HTML][HTML] Correlations between objective behavioral features collected from mobile and wearable devices and depressive mood symptoms in patients with affective …
… However, studies have shown a statistically significant positive correlation between depressive
symptoms and the feature screen active duration [78]. Similarly, subjective-based mobile …
symptoms and the feature screen active duration [78]. Similarly, subjective-based mobile …
Predicting symptoms of depression and anxiety using smartphone and wearable data
… many of the limitations of traditional screening methods. … and wearable devices could predict
symptoms of depression and … (location variance on depression) and wearable device data (…
symptoms of depression and … (location variance on depression) and wearable device data (…
Smart devices and wearable technologies to detect and monitor mental health conditions and stress: A systematic review
… wearables and sensor wearables; devices which are tolerable to the wearer, portable, and
proposed to be capable of detecting stress, anxiety, and depression… BH and TC) screened the …
proposed to be capable of detecting stress, anxiety, and depression… BH and TC) screened the …
Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT …
T Kishimoto, S Kinoshita, T Kikuchi, S Bun… - Frontiers in …, 2022 - frontiersin.org
… periods of device wearing will be collected from each subject. Using wearable device data
… absence of depressive episodes and predicting the HAMD scores for an unknown data set. …
… absence of depressive episodes and predicting the HAMD scores for an unknown data set. …
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