Parameter
| Biomarker | MFCC / MPT | Full name | Mel-frequency cepstral coefficients / Maximum phonation time | Molecular Type | Other (acoustic features) |
|---|---|---|---|---|---|
| Molecular Formula | Molecular Weight | Core Functional Dimensions | Congestion monitoring, remote follow-up | ||
| Disease | Heart failure | Disease Subtypes | / | ||
| Organ | Vocal cords, lungs, myocardium | Test Sample / Technology Platform | Audio samples (smartphone recordings, machine learning analysis) | ||
| Pathobiological Mechanisms | HF vocal cord edema (capacity load), lung function decline, affect the sound parameters (such as MFCC, the maximum voice time MPT) | ||||
| Clinical Availability Status | Cutting-edge research/clinical trial: - Amir distinguish between HF study shows that sound characteristics, such as the accuracy of the congestion/non congestion state = 98%; -Validation in multiple languages (Hebrew, Arabic) showed good stability | ||||
| Notes and Dynamics | Patients with acute HF MPT < 18 s prompt severe congestion, MPT after treatment to > 22 s is associated with good prognosis; Smartphone APP (such as CardioVoice) can monitor the sound characteristics in real time and warn of the deterioration of HF (sensitivity 89%, specificity 82%). Chronic HF remote follow-up, voice unwanted clinic on biomarkers can be reduced by 30% | ||||