Clinical Validation of Respiratory Rate Estimation Using Acoustic Signals from a Wearable Device
Rawan S. Abdulsadig, Nikesh Devani, Sukhpreet Singh, Zaibaa Patel, Renard Xaviero Adhi Pramono, Swapna Mandal, Esther Rodriguez-Villegas · 2024
Read Clinical Validation of Respiratory Rate Estimation Using Acoustic Signals from a Wearable Device by Rawan S. Abdulsadig, Nikesh Devani, Sukhpreet Singh, Zaibaa Patel, Renard Xaviero Adhi Pramono, Swapna Mandal, Esther Rodriguez-Villegas (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11642485.txt.
Description
Rawan Abdulsadig and co-authors clinically validated a wearable that counts breaths from sound in a 2024 study. Breathing rate is a basic vital sign, yet it is the worst recorded of them all in routine care. Standard methods rely on manual counting or chest tubes, both impractical outside intensive care.
Their wearable listens to acoustic signals linked to breathing and estimates rate automatically. The validation compared its readings against reference measures in patients. Accurate hands-free counting could flag deterioration earlier on general wards, where nurses check vitals only a few times a day. The study gives hospitals evidence on whether a small wearable can close one of monitoring's oldest gaps.
Catalog record
| CREATOR | Rawan S. Abdulsadig, Nikesh Devani, Sukhpreet Singh, Zaibaa Patel, Renard Xaviero Adhi Pramono, Swapna Mandal, Esther Rodriguez-Villegas |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |