The goal of this clinical study is to validate C-mo System's ability to automatically detect and characterise cough, in patients over 2 years old with cough as a key or refractory symptom. The main questions it aims to answer are: 1. Can C-mo System detect cough events? (automatic cough detection) 2. Can C-mo System characterise cough events? (calculation of cough intensity, identification of cough type and presence of wheeze in detected coughs) Participants will be asked to: * Wear the C-mo Wearable device for 24 hours (1 day); * Complete a diary with relevant activities throughout the monitoring period; * Fill-out questionnaires related to coughing frequency and intensity, usability of the device, and impact of cough on quality of life.
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Cough detection (precision and recall)
Timeframe: 24 hours
Cough detection (F1-score)
Timeframe: 24 hours
Cough characterisation (precision, recall and global accuracy)
Timeframe: 24 hours
Cough characterisation (F1-score)
Timeframe: 24 hours
Cough characterisation (Matthews correlation coefficient)
Timeframe: 24 hours
Cough characterisation (Cohen's Kappa)
Timeframe: 24 hours
Wheezing detection (precision, recall, true negative rate, accuracy, and negative predictive value)
Timeframe: 24 hours
Wheezing detection (F1-score)
Timeframe: 24 hours
Cough frequency (Matthews correlation coefficient)
Timeframe: 24 hours
Cough frequency (Cohen's Kappa Index)
Timeframe: 24 hours
Cough type percentage (Matthews correlation coefficient)
Timeframe: 24 hours
Cough type percentage (Cohen's Kappa Index)
Timeframe: 24 hours
Wheezing detection (Matthews correlation coefficient)
Timeframe: 24 hours
Wheezing detection (Cohen's Kappa Index)
Timeframe: 24 hours