A patient with a chronic respiratory condition will need to install Insubiq Cough Tracker App here
AI-powered cough analysis
Once installed in the app, the patient needs to activate the cough analysis mode. The AI-powered algorithm will initiate analysis of night cough and the dynamics of this symptom
Warning system
Encrypted stats will be transmitted to the physicians' dashboard if the patient has provided permission via the Cough Tracker App. Alerts notification about asthma crisis will be reported to the dashboard or the Insubiq Cough Tracker App for physicians.
Reimbursement Potential
Reimbursement for each patient per month
Treat twice as many patients
Annual potential revenue from each chronic patient
up to
2
+$1,500
$123
Warning system
Asthma care with AI-powered night cough symptom analysis
Remote patient monitoring app
AI processing takes place inside the smartphone to protect your privacy. 24/7 and in the background
In-app AI algorithms architecture
• Cough detection algorithm • Noise cancelling • Cough classifier • User identification by the cough sound • Night cough analysis • Alert notification system
Night cough analysis
A proprietary multifactor algorithm analyzes and estimates a personal threshold value for each user that manifests the onset of an asthma crisis
Validation Study
Objective: Identify the accuracy of a cough detecting algorithm compared with the human ear.
Method: Respiratory experts listened to each sound sample and labeled them. Their aggregated opinions were marked as the Gold Standard. Next, we compared the algorithm's predictions with the Gold Standard. In this way, we tried to detect the difference between the level of cough recognition by the human ear and the Cough Tracker algorithm.
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