Detalles de la búsqueda
1.
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
2.
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
3.
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
4.
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
5.
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
6.
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
7.
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
8.
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
9.
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis.
Front Physiol
; 14: 1145818, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37089424
10.
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
11.
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
12.
Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence.
Biomedicines
; 10(10)2022 Oct 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-36289925
13.
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
14.
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
15.
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
16.
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
17.
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis.
J Clin Med
; 11(23)2022 Dec 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36498739
18.
Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study).
JMIR Res Protoc
; 10(12): e32587, 2021 Dec 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34784292
19.
Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study.
JMIR Mhealth Uhealth
; 9(4): e24604, 2021 04 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-33843591
20.
Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study.
JMIR Mhealth Uhealth
; 9(7): e29840, 2021 07 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-34328441