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Latest Publications

A dataset of Solicited Cough Sound for Tuberculosis Triage Testing

The article presents a dataset of 733,756 cough sounds from 2,143 patients across 7 countries, accompanied by accurate demographic, clinical, and microbiological diagnostic annotations. It was collected using an early version of Hyfe’s research application, specifically designed to capture cough audio.

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Peer-reviewed publications
Abstracts
Research memos
Pre-print

A dataset of Solicited Cough Sound for Tuberculosis Triage Testing

Inhaled alkaline hypertonic divalent salts reduce refractory chronic cough frequency

Continuous digital cough monitoring during 6-month pulmonary tuberculosis treatment

Longitudinal Cough Frequency Monitoring in Persistent Coughers: Daily Variability and Predictability

ATS 2024: Using Cough Sounds to Predict Chest Radiography Results

ATS 2024: Cough-omics: Quantifying the Variability and Predictability of Daily Cough Countsin Persistent Coughers

ATS 2024: Validation of an Acoustic AI Cough Monitoring System

ATS 2024: Using Continuous Cough Monitoring to Assess Bronchiectasis Therapy

Solicited Cough Sound Analysis for Tuberculosis Triage Testing: The CODA TB DREAM Challenge Dataset

Validation of the Hyfe cough monitoring system: a multicenter clinical study

Characterization of Codeine Treatment Responders Among Patients with Refractory or Unexplained Chronic Cough: A Prospective Real‑World Cohort Study

Leveraging Cough Sounds to Optimize Chest X-ray Usage in Low-resource Settings

Performance evaluation of human cough annotators: optimal metrics and sex differences

Feasibility and Utility of a Smartphone Application-Based Longitudinal Cough Monitoring in Chronic Cough Patients in a Real-World Setting

Towards a Neural Cough Classifier for Edge Devices

ACC 2023: Validation of the Hyfe Cough Monitoring System

Predicting Tuberculosis from Real-World Cough Audio Recordings and Metadata

Continuous cough monitoring: a novel digital biomarker for TB diagnosis and treatment response monitoring

Digital Cough Monitoring - A Potential Predictive Acoustic Biomarker Of Clinical Outcomes in Hospitalized COVID-19 Patients

ASTMH 2022: Revisiting a neglected symptom: clinical experience using the Hyfe Cough Tracker in malaria patients

ERS 2022: Continuous cough monitoring with AI. Cases: treatment response, smoking cessation and COVID-19

The Statistics of Counting Coughs: Easy as 1, 2, 3?

12th LICS: Usability, feasibility, and effectiveness of continuous cough frequency monitoring with Hyfe Cough Tracker in patients with chronic cough

Feasibility and analysis considerations of continuous community-based cough monitoring in low- and middle-income settings

Making cough count in tuberculosis care

Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds

CHEST 2022: Cough monitoring using artificial intelligence to complement smoke cessation interventions

Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence

ATS 2022 Respiratory Innovation Summit: Hyfe Cough Monitoring System: Making Cough Count

Longitudinal Passive Cough Monitoring and Its Implications for Detecting...

High-throughput digital cough recording on a university campus

Long-COVID severe refractory cough: discussion of a case with 6-week longitudinal cough characterization

Reimagining the status quo: How close are we to rapid sputum-free tuberculosis diagnostics for all?

Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study

Cough detection & classification: preliminary validation of Hyfe cough detection & classification

Effects of distance on Hyfe performance

AI-powered cough counting: an objective and scalable endpoint

Risk scores in real-time: the untapped potential of mobile health

Hyfe Vision Paper: Acoustic AI as a scalable tool for diagnostics & monitoring

White Paper: Smart cough monitoring - an innovation milestone for global respiratory health

Inhaled alkaline hypertonic divalent salts reduce refractory chronic cough frequency

Continuous digital cough monitoring during 6-month pulmonary tuberculosis treatment

Longitudinal Cough Frequency Monitoring in Persistent Coughers: Daily Variability and Predictability

Characterization of Codeine Treatment Responders Among Patients with Refractory or Unexplained Chronic Cough: A Prospective Real‑World Cohort Study

Performance evaluation of human cough annotators: optimal metrics and sex differences

Feasibility and Utility of a Smartphone Application-Based Longitudinal Cough Monitoring in Chronic Cough Patients in a Real-World Setting

Continuous cough monitoring: a novel digital biomarker for TB diagnosis and treatment response monitoring

Digital Cough Monitoring - A Potential Predictive Acoustic Biomarker Of Clinical Outcomes in Hospitalized COVID-19 Patients

The Statistics of Counting Coughs: Easy as 1, 2, 3?

Making cough count in tuberculosis care

Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds

Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence

Longitudinal Passive Cough Monitoring and Its Implications for Detecting...

High-throughput digital cough recording on a university campus

Long-COVID severe refractory cough: discussion of a case with 6-week longitudinal cough characterization

Reimagining the status quo: How close are we to rapid sputum-free tuberculosis diagnostics for all?

Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study

ATS 2024: Using Cough Sounds to Predict Chest Radiography Results

ATS 2024: Cough-omics: Quantifying the Variability and Predictability of Daily Cough Countsin Persistent Coughers

ATS 2024: Validation of an Acoustic AI Cough Monitoring System

ATS 2024: Using Continuous Cough Monitoring to Assess Bronchiectasis Therapy

ACC 2023: Validation of the Hyfe Cough Monitoring System

ASTMH 2022: Revisiting a neglected symptom: clinical experience using the Hyfe Cough Tracker in malaria patients

ERS 2022: Continuous cough monitoring with AI. Cases: treatment response, smoking cessation and COVID-19

12th LICS: Usability, feasibility, and effectiveness of continuous cough frequency monitoring with Hyfe Cough Tracker in patients with chronic cough

CHEST 2022: Cough monitoring using artificial intelligence to complement smoke cessation interventions

ATS 2022 Respiratory Innovation Summit: Hyfe Cough Monitoring System: Making Cough Count

Towards a Neural Cough Classifier for Edge Devices

Cough detection & classification: preliminary validation of Hyfe cough detection & classification

Effects of distance on Hyfe performance

AI-powered cough counting: an objective and scalable endpoint

Risk scores in real-time: the untapped potential of mobile health

Hyfe Vision Paper: Acoustic AI as a scalable tool for diagnostics & monitoring

White Paper: Smart cough monitoring - an innovation milestone for global respiratory health

Solicited Cough Sound Analysis for Tuberculosis Triage Testing: The CODA TB DREAM Challenge Dataset

Describes & provides access to a large multi-country database of cough sounds from individuals being evaluated for TB. The dataset includes more than 700,000 cough sounds from 2,143 individuals with detailed demographic, clinical and microbiologic information.

Validation of the Hyfe cough monitoring system: a multicenter clinical study

This study demonstrates the overall performance of the Hyfe Cough Monitoring System when used by individuals with problematic cough, under common living conditions, to have a sensitivity of 90.4% and false positivity rate of only 1.03 cough per hour.

Leveraging Cough Sounds to Optimize Chest X-ray Usage in Low-resource Settings

This pilot study suggests that the acoustic pattern of a solicited cough can help to identify which patients are most likely to have abnormal chest radiographs. AI-enabled cough classification may become a routine tool used by front line healthcare personnel.

Predicting Tuberculosis from Real-World Cough Audio Recordings and Metadata

Results suggest mobile phone-based applications that integrate clinical symptoms and cough sound analysis could help community health workers and, most importantly, health service programs to improve TB case-finding efforts while reducing costs, which could substantially improve public health.

Feasibility and analysis considerations of continuous community-based cough monitoring in low- and middle-income settings

Continuous cough monitoring using a smartphone application is feasible in low- and middle-income country settings, as shown in this study with 568 participants with presumptive Tuberculosis that were monitored for cough frequency dynamics for at least 10 days.

Cough monitoring for cutting-edge research

Cough is now measurable longitudinally and continuously, whilst patients go about their daily life. For the first time ever, researchers can learn about cough over time, offering valuable insights for the benefit of healthcare.

Request the Welcome Research Package to access the following content:
  • An introduction to: Cough Intelligence for Research & CoughMonitor wearable
  • Documentation for IRB proposals
  • FAQs
  • Quote calculator
  • Cough Science Forum
Talk To a cough ExpertExplore Cough Monitor Suite
Map image where Hyfe is working and has partners. Hyfe - Acoustic epidemiology is the next frontier in healthcare

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