Validation and Evaluation of a Novel Cough Detection Device
NCT04861155 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 29
Last updated 2021-11-23
Summary
When diagnosing chronic cough (cough lasting longer than 8 weeks), the physician nowadays very often relies on the patient's narrative and description. In our research project we want to find out whether a cough detector can continuously and reliably record the cough, how the user-friendliness of the cough detector is assessed and whether this continuous recording can support the physician in his diagnosis.
Conditions
- Chronic Cough
Interventions
- DEVICE
-
SIVA-P3
Digital cough recording: Participants receive a small, wearable data recorder, wear it during waking hours and keep it on the nightstand during sleep for 7x24 hours. The data is sent to a smartphone application, where a cough detection algorithm converts it into time-stamped cough events. Participants respond to questions on their smartphone once a day for additional context data. The cough events and context data are sent to a secure online database for further evaluation. For the first 24 hours, segments of audio data are sent to be able to validate the performance of the cough detection algorithm. Afterwards, only cough events and context data are sent from the participant's smartphone.
Sponsors & Collaborators
-
Evoleen AG
lead INDUSTRY -
University Hospital, Zürich
collaborator OTHER
Principal Investigators
-
Christian Clarenbach, PhD. Dr. med. · University of Zurich
Study Design
- Allocation
- NA
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-04-22
- Primary Completion
- 2021-10-26
- Completion
- 2021-10-26
Countries
- Switzerland
Study Locations
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