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1.
Feasibility and acceptability of an ultra-long-term at-home EEG monitoring system (EEG@HOME) for people with epilepsy.
Epilepsy Behav
; 151: 109609, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38160578
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.
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
5.
Technology-based interventions for mental health support after stroke: A systematic review of their acceptability and feasibility.
Neuropsychol Rehabil
; 31(3): 432-452, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-31833819
6.
Keeping well in a COVID-19 crisis: a qualitative study formulating the perspectives of mental health service users and carers.
J Ment Health
; 30(2): 138-147, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-33502941
7.
Patients' experience of wearing multimodal sensor devices intended to detect epileptic seizures: A qualitative analysis.
Epilepsy Behav
; 102: 106717, 2020 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31785481
8.
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
9.
Patient perspectives on the acceptability of mHealth technology for remote measurement and management of epilepsy: A qualitative analysis.
Epilepsy Behav
; 97: 123-129, 2019 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-31247523
10.
Digital Exclusion Among Mental Health Service Users: Qualitative Investigation.
J Med Internet Res
; 21(1): e11696, 2019 01 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-30626564
11.
Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals.
Epilepsy Behav
; 85: 141-149, 2018 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-29940377
12.
Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings.
J Med Internet Res
; 20(7): e10480, 2018 07 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-30001997
13.
Incidence and outcome of functional stroke mimics admitted to a hyperacute stroke unit.
J Neurol Neurosurg Psychiatry
; 88(1): 2-6, 2017 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-26319438
14.
The Dysexecutive Questionnaire Revised (DEX-R): An extended measure of everyday dysexecutive problems after acquired brain injury.
Neuropsychol Rehabil
; 27(8): 1124-1141, 2017 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-26784858
15.
Measuring coping style following acquired brain injury: a modification of the Coping Inventory for Stressful Situations Using Rasch analysis.
Br J Clin Psychol
; 54(3): 249-65, 2015 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-25546116
16.
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
17.
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
18.
Barriers to and Facilitators of Using Remote Measurement Technology in the Long-Term Monitoring of Individuals With ADHD: Interview Study.
JMIR Form Res
; 7: e44126, 2023 Jun 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-37389932
19.
Experiences of health tracking in mobile apps for multiple sclerosis: A qualitative content analysis of user reviews.
Mult Scler Relat Disord
; 69: 104435, 2023 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-36493561
20.
Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis.
JMIR Hum Factors
; 10: e39479, 2023 Jan 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-36701179