TY - GEN
T1 - Detection of Normal and Paradoxical Splitting in Second Heart Sound (S2) using a Wearable Accelerometer Contact Microphone
AU - Sang, Brian
AU - Wen, Haoran
AU - Gupta, Pranav
AU - Shokouhmand, Arash
AU - Khan, Samiha
AU - Puma, Joseph A.
AU - Patel, Amisha
AU - Green, Philip
AU - Tavassolian, Negar
AU - Ayazi, Farrokh
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Second heart sound (S2) splitting can potentially be used as an indicator for diagnosis of cardiovascular diseases. One example is S2 paradoxical splitting, which can occur when the pulmonic sound (P2) occurs before the aortic sound (A2). However, current means of capturing S2 sounds are not sensitive enough for quantification of A2 and P2. In this paper, we present that S2 's acoustic signatures can be captured accurately using a wearable hermetically sealed sensitive accelerometer contact microphone (ACM) MEMS device. Smoothed Pseudo Wigner-Ville distribution is used to extract the S2 splitting interval. This methodology has been used to capture S2 splitting from patients with varying BMI and used to identify paradoxical splitting from patients with known heart diseases such as aortic stenosis.
AB - Second heart sound (S2) splitting can potentially be used as an indicator for diagnosis of cardiovascular diseases. One example is S2 paradoxical splitting, which can occur when the pulmonic sound (P2) occurs before the aortic sound (A2). However, current means of capturing S2 sounds are not sensitive enough for quantification of A2 and P2. In this paper, we present that S2 's acoustic signatures can be captured accurately using a wearable hermetically sealed sensitive accelerometer contact microphone (ACM) MEMS device. Smoothed Pseudo Wigner-Ville distribution is used to extract the S2 splitting interval. This methodology has been used to capture S2 splitting from patients with varying BMI and used to identify paradoxical splitting from patients with known heart diseases such as aortic stenosis.
KW - Accelerometer Contact Microphone
KW - CVD
KW - S2 Splitting
KW - Time Frequency Representation
KW - Wearable
UR - http://www.scopus.com/inward/record.url?scp=85144033020&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85144033020&partnerID=8YFLogxK
U2 - 10.1109/SENSORS52175.2022.9967056
DO - 10.1109/SENSORS52175.2022.9967056
M3 - Conference contribution
AN - SCOPUS:85144033020
T3 - Proceedings of IEEE Sensors
BT - 2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings
T2 - 2022 IEEE Sensors Conference, SENSORS 2022
Y2 - 30 October 2022 through 2 November 2022
ER -