Audio Data Collection for Identification and Classification of Coughing
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The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. |
ClinicalTrials.gov Identifier: NCT04326309 |
Recruitment Status :
Completed
First Posted : March 30, 2020
Last Update Posted : April 29, 2022
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Condition or disease |
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COVID-19 Coronavirus Infections Hay Fever Asthma Chronic Obstructive Pulmonary Disease Influenza Common Cold Respiratory Tract Infections Healthy |
Study Type : | Observational |
Actual Enrollment : | 336 participants |
Observational Model: | Cohort |
Time Perspective: | Prospective |
Official Title: | Audio Data Collection for Identification and Classification of Coughing |
Actual Study Start Date : | March 25, 2020 |
Actual Primary Completion Date : | January 24, 2022 |
Actual Study Completion Date : | January 24, 2022 |
Group/Cohort |
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Cohort 1
Individual Application Downloaders
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Cohort 2
Public Space and Vehicle Data Capture
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Cohort 3
Individuals dialing a voice-recording study phone number
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Cohort 4
Individuals utilizing study website's audio recording functionality
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Cohort 5
Individuals participating in Return-to-Work Project
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- Dataset size [ Time Frame: 14 days ]Size of collected audio dataset measured as number of collected cough sounds, targeting ≥10,000 identified coughs.
- Cough sound identification [ Time Frame: 14 days ]Identification of cough sounds by the existing mathematical model with ≥ 99% specificity and ≥ 60% sensitivity
- Improvement of the existing model [ Time Frame: 14 days ]Increase in the sensitivity of the mathematical model to cough sounds to ≥ 70% while retaining the specificity of ≥ 99%
- Evaluate the usability of the application [ Time Frame: 14 days ]Determination of the level of acceptance and satisfaction of the solution by patients by means of a Standard Usability Questionnaire to provide feedback. The score ranges from 10 to 50, higher score indicating a better usability.

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Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | Yes |
Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
Cohort 1, 3, 4 and 5:
- Females and males over 18 years old
- Willing to share demographic data with the sponsor of the study
- Willing to follow app use instructions during the course of the study
- Willing to complete survey instruments as described in study procedures
- Willing to provide electronic informed consent
- Able to read and understand the English language well enough to complete electronic informed consent
Cohort 2:
Any person present in the vicinity of a HealthMode Cough Monitoring Device
Exclusion Criteria:
No exclusion criteria
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To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04326309
United States, New York | |
Virtual Facility | |
Bronx, New York, United States, 10461 |
Responsible Party: | HealthMode Inc. |
ClinicalTrials.gov Identifier: | NCT04326309 |
Other Study ID Numbers: |
HM070102 |
First Posted: | March 30, 2020 Key Record Dates |
Last Update Posted: | April 29, 2022 |
Last Verified: | April 2022 |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
Infections Communicable Diseases Coronavirus Infections Respiratory Tract Infections Common Cold Lung Diseases, Obstructive Pulmonary Disease, Chronic Obstructive Rhinitis, Allergic, Seasonal Disease Attributes Pathologic Processes Lung Diseases Respiratory Tract Diseases Chronic Disease |
Coronaviridae Infections Nidovirales Infections RNA Virus Infections Virus Diseases Picornaviridae Infections Rhinitis, Allergic Rhinitis Nose Diseases Respiratory Hypersensitivity Otorhinolaryngologic Diseases Hypersensitivity, Immediate Hypersensitivity Immune System Diseases |