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1.
Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol.
BMC Psychiatry
; 24(1): 409, 2024 May 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-38816707
2.
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.
J Med Internet Res
; 25: e45233, 2023 08 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-37578823
3.
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study.
BMC Psychiatry
; 22(1): 136, 2022 02 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35189842
4.
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder.
Pattern Recognit
; 123: 108403, 2022 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-34720200
5.
Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology.
BMC Psychiatry
; 21(1): 435, 2021 09 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-34488697
6.
Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19.
J Med Internet Res
; 22(9): e19992, 2020 09 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-32877352
7.
Home monitoring to detect progression of interstitial lung disease: A prospective cohort study.
Respirology
; 29(6): 513-517, 2024 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-38589216
8.
Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial.
JMIR Mhealth Uhealth
; 12: e44214, 2024 Jan 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-38241070
9.
Feasibility and usability of remote monitoring in Alzheimer's disease.
Digit Health
; 10: 20552076241238133, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38601188
10.
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.
J Affect Disord
; 355: 40-49, 2024 Jun 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-38552911
11.
The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement.
JMIR Ment Health
; 10: e42866, 2023 Jan 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-36692937
12.
Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study.
J Atten Disord
; 27(9): 1040-1050, 2023 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-37269091
13.
Multilingual markers of depression in remotely collected speech samples: A preliminary analysis.
J Affect Disord
; 341: 128-136, 2023 11 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37598722
14.
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.
NPJ Digit Med
; 6(1): 25, 2023 Feb 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-36806317
15.
Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence.
Biomedicines
; 10(10)2022 Oct 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-36289925
16.
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions.
Comput Methods Programs Biomed
; 227: 107204, 2022 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-36371974
17.
The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones.
JMIR Mhealth Uhealth
; 10(1): e28095, 2022 01 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-35089148
18.
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study.
JMIR Ment Health
; 9(3): e34898, 2022 Mar 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-35275087
19.
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis.
JMIR Mhealth Uhealth
; 10(10): e40667, 2022 10 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-36194451
20.
Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial.
JMIR Res Protoc
; 10(12): e32653, 2021 Dec 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-34932005