Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

B Dobson

Showing results (171-180 of 192) with videos related to

Pageof 20
Sort By:
Frontiers in Physiology|April 24, 2023
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosisSpyridon Kontaxis, Estela Laporta, Esther Garcia, et al.
Journal of Affective Disorders|March 29, 2024
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelYuezhou Zhang, Amos A Folarin, Judith Dineley, et al.
Journal of Affective Disorders|August 20, 2023
Multilingual markers of depression in remotely collected speech samples: A preliminary analysisNicholas Cummins, Judith Dineley, Pauline Conde, et al.
Journal of Medical Genetics|April 14, 2016
Microduplications at the pseudoautosomal SHOX locus in autism spectrum disorders and related neurodevelopmental conditionsMaria Tropeano, Deirdre Howley, Matthew J Gazzellone, et al.
NPJ Digital Medicine|February 22, 2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression studyYuezhou Zhang, Abhishek Pratap, Amos A Folarin, et al.
JMIR Mhealth and Uhealth|October 4, 2022
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
BMC Medical Informatics and Decision Making|October 13, 2021
An informatics consult approach for generating clinical evidence for treatment decisionsAlvina G Lai, Wai Hoong Chang, Constantinos A Parisinos, et al.
Journal of Medical Internet Research|August 14, 2023
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective AnalysisShaoxiong Sun, Amos A Folarin, Yuezhou Zhang, et al.
Journal of Affective Disorders|July 22, 2024
The relationship between wearable-derived sleep features and relapse in Major Depressive DisorderF Matcham, E Carr, N Meyer, et al.
Journal of Affective Disorders|May 7, 2022
Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive DisorderF Matcham, E Carr, K M White, et al.
Pageof 20

Showing results (171-180 of 192) with videos related to

Sort By:
Pageof 20
Frontiers in Physiology|April 24, 2023
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosisSpyridon Kontaxis, Estela Laporta, Esther Garcia, et al.
Journal of Affective Disorders|March 29, 2024
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelYuezhou Zhang, Amos A Folarin, Judith Dineley, et al.
Journal of Affective Disorders|August 20, 2023
Multilingual markers of depression in remotely collected speech samples: A preliminary analysisNicholas Cummins, Judith Dineley, Pauline Conde, et al.
Journal of Medical Genetics|April 14, 2016
Microduplications at the pseudoautosomal SHOX locus in autism spectrum disorders and related neurodevelopmental conditionsMaria Tropeano, Deirdre Howley, Matthew J Gazzellone, et al.
NPJ Digital Medicine|February 22, 2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression studyYuezhou Zhang, Abhishek Pratap, Amos A Folarin, et al.
JMIR Mhealth and Uhealth|October 4, 2022
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
BMC Medical Informatics and Decision Making|October 13, 2021
An informatics consult approach for generating clinical evidence for treatment decisionsAlvina G Lai, Wai Hoong Chang, Constantinos A Parisinos, et al.
Journal of Medical Internet Research|August 14, 2023
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective AnalysisShaoxiong Sun, Amos A Folarin, Yuezhou Zhang, et al.
Journal of Affective Disorders|July 22, 2024
The relationship between wearable-derived sleep features and relapse in Major Depressive DisorderF Matcham, E Carr, N Meyer, et al.
Journal of Affective Disorders|May 7, 2022
Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive DisorderF Matcham, E Carr, K M White, et al.
Pageof 20