- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03673189
Sensors for HEalth Recording and Physical Activity Monitoring (SHERPAM)
May 22, 2023 updated by: Rennes University Hospital
The SHERPAM project is part of a scientific and technological context which aim is to record, transmit, analyse the physiological parameters of a patient, as well as to record the feedback to the patient and health professional to suggest the best individualised attitude.
The questions of SHERPAM are generic.
However, two specific applications will be addressed, in which the partners have already acquired some expertise: the recognition and quantification of physical activity with energy expenditure estimation, and the assessment of walking ability in patients with obliterative vascular disease in the lower limbs.
Another application concerns the monitoring of the practice of physical activity and some biological signs in subjects with cardiovascular risk and in cardiac patients (arrhythmogenic diseases).
Despite various clinical contexts and health goals, a common approach will be developed.
Study Overview
Detailed Description
To assess the SHERPAM Device (DS) by the continuous acquisition and transmission of data (accelerations, rotations, alterations in thoracic volume, heart rate, electrocardiogram) in a real life physical activity practice (subjects in their living environment and during their usual physical practices) using the DS's real-time communication tools, automatic data processing, and the DS's ability to produce information.
Study Type
Interventional
Enrollment (Actual)
30
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Bretagne
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Rennes, Bretagne, France, 35000
- Unité de Biologie et médecine du Sport
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 75 years (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
Healthy volunteers Healthy active subjects aged 50 or over (ie without diagnosed disease, without chronic treatment) and recruited in the sports associations of Ille et Vilaine (cycle tourism clubs).
- having benefited from an oral or written prescription of physical activity carried out by a health professional and applying this prescription daily in autonomy or in a sports club.
Common to all subjects
- physically active (adherent to a club or sports association or practicing independently according to the recommendations of their physician);
- practicing at least once a week;
- residence located less than 100 km return from Rennes University Hospital
- affiliate or beneficiary of a social protection scheme;
- having given his written consent
Exclusion Criteria:
Common to all subjects
- wearing a pacemaker or implanted cardiac defibrillator (precaution because using telemetry);
- participation in another research protocol;
- persons aver 18 yrs-old subject to legal protection (legal safeguards, guardianship, tutorship), persons deprived of their liberty;
- pregnant or nursing woman.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Healthy volunteers
Sensors assigned for 3 weeks
|
Acquisition and transmission of exploitable recordings in the public targeted by the DS, that is to say which allow to draw clinical information in relation to the objectives of the DS (detection of the cardiac rhythm): data without artefact (saturation), in a good signal to noise ratio.
|
Experimental: Patients with arythmic disease or peripheral vascular disease
Sensors assigned for 3 weeks
|
Acquisition and transmission of exploitable recordings in the public targeted by the DS, that is to say which allow to draw clinical information in relation to the objectives of the DS (detection of the cardiac rhythm): data without artefact (saturation), in a good signal to noise ratio.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
asses the continuous acquisition of data by sensors
Time Frame: every day (during 3 weeks)
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transmission and reception of physiological parameters of a patient
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every day (during 3 weeks)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Test acceptability of SHERPAM Device
Time Frame: after 7 days of use
|
questionnary
|
after 7 days of use
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Test acceptability of Sherpam Device
Time Frame: after 21 days of use
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questionnary
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after 21 days of use
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Test usability of Sherpam Device
Time Frame: after 7 days of use
|
questionnary
|
after 7 days of use
|
Test usability of Sherpam Device
Time Frame: after 21 days of use
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questionnary
|
after 21 days of use
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Carre François, MD, Rennes University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Houssein A, Ge D, Gastinger S, Dumond R, Prioux J. Estimation of respiratory variables from thoracoabdominal breathing distance: a review of different techniques and calibration methods. Physiol Meas. 2019 Apr 3;40(3):03TR01. doi: 10.1088/1361-6579/ab0b63.
- Dumond R, Gastinger S, Rahman HA, Le Faucheur A, Quinton P, Kang H, Prioux J. Estimation of respiratory volume from thoracoabdominal breathing distances: comparison of two models of machine learning. Eur J Appl Physiol. 2017 Aug;117(8):1533-1555. doi: 10.1007/s00421-017-3630-0. Epub 2017 Jun 13.
- Khreis S, Ge D, Rahman HA, Carrault G. Breathing Rate Estimation Using Kalman Smoother With Electrocardiogram and Photoplethysmogram. IEEE Trans Biomed Eng. 2020 Mar;67(3):893-904. doi: 10.1109/TBME.2019.2923448. Epub 2019 Jun 17.
Helpful Links
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 28, 2018
Primary Completion (Actual)
September 12, 2019
Study Completion (Actual)
September 12, 2019
Study Registration Dates
First Submitted
June 12, 2018
First Submitted That Met QC Criteria
September 13, 2018
First Posted (Actual)
September 17, 2018
Study Record Updates
Last Update Posted (Actual)
May 24, 2023
Last Update Submitted That Met QC Criteria
May 22, 2023
Last Verified
May 1, 2023
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 35RC17_8836
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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