connected smartwatch
DeviceThe smartwatch is worn by the patient and data are sent automatically to a server that detects if there are signs of RBD.
NCT Number: NCT06444789
dBM-dev study is a multicentre low-intervention research study which concerns REM sleep behaviour disorder (RBD) who is the best predictor for neurodegenerative diseases including Parkinson's disease (PD). RBD can only be confirmed by polysomnography, which is a cumbersome procedure. The main objective of this study is to identify a novel, robust dBM for the detection of RBD using smartwatch-based recordings of passive data.The study is conducted step-wise on two subsequent cohorts referred to as the development cohort and the confirmation cohort.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Neurology Toulouse Hospital, Toulouse, France
The development cohort comprises 30 patients with RBD and 30 matched controls on sex and age with patients RBD.
The confirmation cohort comprises 30 patients with PD. Following a baseline visit comprising standard clinical evaluation and Parkinson questionnaires, participants will undergo daily-life dBM tracking over a duration of 4 weeks for development cohort and 3 months for confirmation cohort. Additionally, PD patients enrolled in the confirmation cohort will receive a polysomnography which permits to verificate if they have a RBD. The investigation is conducted in four European sites.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
for development cohort:
Group of RBD patients
Group of Healthy matched controls:
Inclusion criteria
for confirmation cohort
Exclusion criteria
for all cohorts:
Inability to consent for study procedures as judged by the investigator. Lacking motivation to participate in study procedures as judged by the investigator.
Lack of social security.
The smartwatch is worn by the patient and data are sent automatically to a server that detects if there are signs of RBD.
Time frame: 4 weeks
the digital biomarker will be identified from passive actigraphy and photoplethysmography data of a separate development cohort
Time frame: 4 weeks for a) 3 months for b)
Time frame: 4 weeks (for development cohort) and 3 months (for confirmation cohort)
Time frame: 4 weeks (for development cohort) and 3 months (for confirmation cohort)
Contact information is provided by the study sponsor or research team.
Anna RIBYCKA
CONTACT
Nadege ALGANS
CONTACT
University Hospital, Toulouse
Other
AI-based Parkinson's Disease Risk Assessment and Prognosis - Digital Biomarkers Development, Validation and Verification Study (AI-PROGNOSIS dBM-DEV Study)
Acronym: dBM-DEV
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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