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This is a multicenter observational study and will include individuals with a variety of cough related conditions including but not limited to refractory chronic cough, Chronic Obstructive Pulmonary Disease (COPD) and non-tuberculous mycobacteria.
The primary objective of this study is to assess the overall performance of the Hyfe Cough Monitoring System (HCMS, Hyfe Inc., 2022) when used by individuals with problematic cough, under common living conditions.The monitoring period for outpatients will be 24 hours.
Researcher will evaluate the accuracy of the mobile HCMS as a tool to monitor cough. HCMS is a dedicated Android smart watch running specialized software that runs continuously and calculates a patient's cough rate on an hourly basis. After providing informed consent, research subjects will be instructed to wear the HCMS and a second watch serving as an audio recorder. These devices will be kept on the wrist or within 3 feet (~91 cm) of the mouth, a behavior abetted by keeping the charging station for both watches on the bedside table. Participants will be asked to go about their day as usual while wearing these devices.
The subjects will be instructed to not turn off either watch for the duration of the 24 hours. In addition, participants will be instructed to avoid environments with active coughers and to inform others in their environment that sound is being recorded. Additionally, they will be told to avoid getting the watches wet. Participants will be instructed to charge the watches on a nightstand next to the bed while they sleep using the provided watch chargers. At the end of the 24-hour period, participants will be instructed to turn off and remove the watches. Additionally, participants will be given a printed Hyfe diary to write down the exact time when the device was turned on/off and any times the watch was not being worn. The devices will be returned to the researchers once the recording period is complete.The 24 hours of continuous ambient sounds collected by the audio recording watch and will be listened to by Hyfe technicians trained in cough annotation and data security, and each coughwill be annotated on the audio file using audio-analysis software, according to standard operating procedures developed by Hyfe. These results will be compared on an hourly basis with the coughs detected by HCMS and the performance of the HCMS for identifying cough in home settings calculated in comparison to the human annotated continuous recording reported.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Clínica Universidad Navarra site | Research subjects will be enrolled at Clínica Universidad Navarra. Research subjects will be instructed to wear the HCMS and a second watch serving as an audio recorder. These devices will be kept on the wrist or within 3 feet (~91 cm) of the mouth, a behavior abetted by keeping the charging station for both watches on the bedside table. Participants will be asked to go about their day as usual while wearing these devices. |
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| OHSU site | Research subjects will be enrolled at OHSU. Research subjects will be instructed to wear the HCMS and a second watch serving as an audio recorder. These devices will be kept on the wrist or within 3 feet (~91 cm) of the mouth, a behavior abetted by keeping the charging station for both watches on the bedside table. Participants will be asked to go about their day as usual while wearing these devices. |
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| Decentralized - US-based | Research subjects will be enrolled in a decentralized manner ou of the Hyfe North American Clinical Office. Research subjects will be instructed to wear the HCMS and a second watch serving as an audio recorder. These devices will be kept on the wrist or within 3 feet (~91 cm) of the mouth, a behavior abetted by keeping the charging station for both watches on the bedside table. Participants will be asked to go about their day as usual while wearing these devices. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Clinical Validation of the Hyfe Cough Monitoring System | Device | The subjects will be instructed to not turn off either watch for the duration of the 24 hours. In addition, participants will be instructed to avoid environments with active coughers and to inform others in their environment that sound is being recorded. Additionally, participants will be told to avoid getting the watches wet. Participants will be instructed to charge the watches on a nightstand next to the bed while they sleep using the provided watch chargers. At the end of the 24-hour period, participants will be instructed to turn off and remove the watches. Additionally, participants will be given a printed Hyfe diary to write down the exact time when the device was turned on/off and any times the watch was not being worn. The devices will be returned to the researchers once the recording period is complete. |
| Measure | Description | Time Frame |
|---|---|---|
| Hyfe Cough Monitoring System (HCMS) accuracy using Pearson correlation coefficient | The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software. If human annotators and the HCMS agreed perfectly, their paired hourly counts would lie on the line y=x (ground truth on the x-axis, HCMS on the y-axis). Agreement with this ideal line quantifies HCMS performance: the Pearson correlation coefficient must be close to 1 By comparison with ground truth annotations, each HCMS timestamp is either a true positive or a false positive; by the usual formula, HCMS Sensitivity = Number of true positives Total number of coughs where the denominator is determined by ground truth. | Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the primary outcome measures. |
| Hyfe Cough Monitoring System (HCMS) accuracy using OLS slope/intercept | The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software. If human annotators and the HCMS agreed perfectly, their paired hourly counts would lie on the line y=x (ground truth on the x-axis, HCMS on the y-axis). Agreement with this ideal line quantifies HCMS performance: the slope and intercept of the OLS line of best fit must be close to 1 and 0, respectively. By comparison with ground truth annotations, each HCMS timestamp is either a true positive or a false positive; by the usual formula HCMS Sensitivity = Number of true positives Total number of coughs where the denominator is determined by ground truth. | Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the co-primary outcome measures |
| Hyfe Cough Monitoring System (HCMS) sensitivity of cough detection |
| Measure | Description | Time Frame |
|---|---|---|
| Differential analysis of nighttime versus daytime HCMS performance | Given the value of monitoring cough only during the day or only at night, a secondary analysis will compare HCMS performance during these periods; "nighttime" is defined as time spent in bed and "daytime" is defined as time not spent in bed. When going to bed, subjects will note their bedtimes carefully and will place the HCMS and monitor in chargers by the bed; reported bedtimes will be validated against the charging times recorded by the watches. The accuracy metrics defined above will then be calculated separately for subjects' daytime and nighttime monitoring periods. |
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Inclusion Criteria:
Exclusion Criteria:
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The study population are adults (21 years old or above) seeking health care and who express concern about their cough.
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| Name | Affiliation | Role |
|---|---|---|
| Carlos Chaccour | Clínica Universidad de Navarra | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Oregon Health Science University | Oregon City | Oregon | 97239 | United States | ||
| Hyfe North American Clinical Office |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 17101736 | Background | Decalmer SC, Webster D, Kelsall AA, McGuinness K, Woodcock AA, Smith JA. Chronic cough: how do cough reflex sensitivity and subjective assessments correlate with objective cough counts during ambulatory monitoring? Thorax. 2007 Apr;62(4):329-34. doi: 10.1136/thx.2006.067413. Epub 2006 Nov 13. | |
| 21079381 | Background |
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All anonymized IPD that support each resulting publication.
IPD will be made available upon publication
IPD will be available via an open repository
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Oct 24, 2025 | |
| Reset | Nov 12, 2025 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Oct 24, 2025 | Nov 12, 2025 |
| ID | Term |
|---|---|
| D003371 | Cough |
| ID | Term |
|---|---|
| D012120 | Respiration Disorders |
| D012140 | Respiratory Tract Diseases |
| D012818 | Signs and Symptoms, Respiratory |
| D012816 | Signs and Symptoms |
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|
The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software.
By comparison with ground truth annotations, each HCMS timestamp is either a true positive or a false positive; by the usual formula
HCMS Sensitivity = Number of true positives Total number of coughs
where the denominator is determined by ground truth.
| Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the co-primary outcome measures. |
| Hyfe Cough Monitoring System (HCMS) false positivity rate | The HCMS timestamps coughs as they occur. Hourly counts of cough events will be compared with ground truth hourly counts determined by trained human annotators, who will listen to audio recordings and timestamp each cough using proprietary labeling software. The false positive rate is the total number of false positives divided by the total number of monitoring hours. | Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours, and cough events will be tabulated hourly. Each participant will thus contribute 24 data points to the calculation of the co-primary outcome measures. |
| Each participant will be monitored continuously with the audio recorder and the HCMS for 24 hours. All of the coughs timestamped by trained human annotators and by the Hyfe Cough Monitoring System will be used to calculate the second |
| Differential analysis of HCMS performance for individual subjects | HCMS performance will vary from subject to subject; in particular, the HCMS may fail to recognize extremely unusual coughs or may perform differently with challenging acoustic backgrounds. Trained human annotators face similar issues, leading to disputed annotations that will be resolved by a third expert annotator. To understand the impact of atypical coughers on HCMS performance, the accuracy metrics defined earlier will be calculated separately for each individual participant. The distributions of these accuracy metrics will be investigated and summarized, and a post hoc analysis of audio from those subjects with exceptionally poor performance will be done to determine the causes of degraded performance. | Each participant will be monitored continuously with the audio recorder and the Hyfe Cough Monitoring System for 24 hours. All of the coughs timestamped by trained human annotators and by the HCMS will be used to calculate the seco |
| Dependence of HCMS performance on individual cough rates | It is possible that HCMS performance could depend on the frequency with which different subjects cough. To assess the impact of this variable, subjects will be stratified into tertiles according to their average cough rates; a subject's average cough rate is that individual's total number of coughs divided by the number of hours of monitoring. The performance metrics defined above will be calculated separately for these tertiles and compared. | Each participant will be monitored continuously with the audio recorder and the Hyfe Cough Monitoring System for 24 hours. All of the coughs timestamped by trained human annotators and by the HCMS will be used to calculate the seco |
| Seattle |
| Washington |
| 98105 |
| United States |
| Clínica Universidad de Navarra | Navarro | Spain |
| Leconte S, Ferrant D, Dory V, Degryse J. Validated methods of cough assessment: a systematic review of the literature. Respiration. 2011;81(2):161-74. doi: 10.1159/000321231. Epub 2010 Nov 13. |
| 23231789 | Background | Barton A, Gaydecki P, Holt K, Smith JA. Data reduction for cough studies using distribution of audio frequency content. Cough. 2012 Dec 12;8(1):12. doi: 10.1186/1745-9974-8-12. |
| 17694868 | Background | Matos S, Birring SS, Pavord ID, Evans DH. An automated system for 24-h monitoring of cough frequency: the leicester cough monitor. IEEE Trans Biomed Eng. 2007 Aug;54(8):1472-9. doi: 10.1109/TBME.2007.900811. |
| 34215614 | Background | Gabaldon-Figueira JC, Brew J, Dore DH, Umashankar N, Chaccour J, Orrillo V, Tsang LY, Blavia I, Fernandez-Montero A, Bartolome J, Grandjean Lapierre S, Chaccour C. Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study. BMJ Open. 2021 Jul 2;11(7):e051278. doi: 10.1136/bmjopen-2021-051278. |
| 39762316 | Derived | Chaccour C, Sanchez-Olivieri I, Siegel S, Megson G, Winthrop KL, Botella JB, de-Torres JP, Jover L, Brew J, Kafentzis G, Galvosas M, Rudd M, Small P. Validation and accuracy of the Hyfe cough monitoring system: a multicenter clinical study. Sci Rep. 2025 Jan 6;15(1):880. doi: 10.1038/s41598-025-85341-3. |
| D013568 | Pathological Conditions, Signs and Symptoms |