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Nicholas Cummins

Showing results (51-60 of 60) with videos related to

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JMIR Mental Health|March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling StudyYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, 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.
Pattern Recognition|November 1, 2021
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoderShuo Liu, Jing Han, Estela Laporta Puyal, 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.
Journal of Affective Disorders|February 8, 2025
Exploring the dynamic relationships between nocturnal heart rate, sleep disruptions, anxiety levels, and depression severity over time in recurrent major depressive disorderElena Condominas, Albert Sanchez-Niubo, Joan Domènech-Abella, 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.
BMC Psychiatry|September 19, 2024
Correction: Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocolCarina Kuehne, Matthew D Phillips, Sarah Moody, et al.
BMC Psychiatry|May 30, 2024
Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocolCarina Kuehne, Matthew D Phillips, Sarah Moody, et al.
Journal of Clinical Medicine|December 11, 2022
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple SclerosisSara Siddi, Iago Giné-Vázquez, Raquel Bailon, et al.
Frontiers in Digital Health|April 1, 2026
Translating AI research into reality: summary of the 2025 voice AI Symposium and HackathonSamantha Salvi Cruz, Jamie Toghranegar, Bradley Malin, et al.
Pageof 6

Showing results (51-60 of 60) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 60 results.
JMIR Mental Health|March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling StudyYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, 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.
Pattern Recognition|November 1, 2021
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoderShuo Liu, Jing Han, Estela Laporta Puyal, 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.
Journal of Affective Disorders|February 8, 2025
Exploring the dynamic relationships between nocturnal heart rate, sleep disruptions, anxiety levels, and depression severity over time in recurrent major depressive disorderElena Condominas, Albert Sanchez-Niubo, Joan Domènech-Abella, 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.
BMC Psychiatry|September 19, 2024
Correction: Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocolCarina Kuehne, Matthew D Phillips, Sarah Moody, et al.
BMC Psychiatry|May 30, 2024
Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocolCarina Kuehne, Matthew D Phillips, Sarah Moody, et al.
Journal of Clinical Medicine|December 11, 2022
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple SclerosisSara Siddi, Iago Giné-Vázquez, Raquel Bailon, et al.
Frontiers in Digital Health|April 1, 2026
Translating AI research into reality: summary of the 2025 voice AI Symposium and HackathonSamantha Salvi Cruz, Jamie Toghranegar, Bradley Malin, et al.
Pageof 6