Validation Study With a Non-CE Marked Medical Device (MD)

Participants receive a small, wearable data recorder, wear it during the day and charge it on the nightstand during sleep for 14x24 hours. The encrypted, recorded segments are uploaded to a server. The server provides a secure environment where the segments are decrypted after receiving the required keys from the patient's SIVA smartphone application. The decrypted segments are then classified as cough by a machine learning algorithm. Participants respond to questions on a smartphone once a day for additional context data. The audio data from the first 24 hours after the patient started wearing the device are used for the validation of the performance of the cough detection algorithm.