All-nanofiber–based, ultrasensitive, gas-permeable mechanoacoustic sensors for continuous long-term heart monitoring

The prolonged and continuous monitoring of mechanoacoustic heart signals is essential for the early diagnosis of cardiovascular diseases. These bodily acoustics have low intensity and low frequency, and measuring them continuously for long periods requires ultrasensitive, lightweight, gas-permeable...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 117; no. 13; pp. 7063 - 7070
Main Authors Nayeem, Md Osman Goni, Lee, Sunghoon, Jin, Hanbit, Matsuhisa, Naoji, Jinno, Hiroaki, Miyamoto, Akihito, Yokota, Tomoyuki, Someya, Takao
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 31.03.2020
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Summary:The prolonged and continuous monitoring of mechanoacoustic heart signals is essential for the early diagnosis of cardiovascular diseases. These bodily acoustics have low intensity and low frequency, and measuring them continuously for long periods requires ultrasensitive, lightweight, gas-permeable mechanoacoustic sensors. Here, we present an all-nanofiber mechanoacoustic sensor, which exhibits a sensitivity as high as 10,050.6 mV Pa−1 in the lowfrequency region (<500 Hz). The high sensitivity is achieved by the use of durable and ultrathin (2.5 μm) nanofiber electrode layers enabling a large vibration of the sensor during the application of sound waves. The sensor is ultralightweight, and the overall weight is as small as 5 mg or less. The devices are mechanically robust against bending, and show no degradation in performance even after 1,000- cycle bending. Finally, we demonstrate a continuous long-term (10 h) measurement of heart signals with a signal-to-noise ratio as high as 40.9 decibels (dB).
Bibliography:Author contributions: M.O.G.N., S.L., H. Jin, N.M., H. Jinno, T.Y., and T.S. designed research; M.O.G.N., S.L., H. Jin, H. Jinno, A.M., and T.Y. performed research; M.O.G.N. contributed new reagents/analytic tools; M.O.G.N., S.L., N.M., T.Y., and T.S. analyzed data; and M.O.G.N., S.L., T.Y., and T.S. wrote the paper.
Edited by John A. Rogers, Northwestern University, Evanston, IL, and approved February 24, 2020 (received for review November 27, 2019)
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1920911117