Intelligent Heart Sound Abnormal Diagnosis Chip Based on LSTM for Wearable Applications

ZHOU Weixin; GAO Zhaogang; XIAO Wan'ang

doi:10.11999/JEIT230934

Volume 46 Issue 2

Feb. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(2): 555-563

ZHOU Weixin, GAO Zhaogang, XIAO Wan'ang. Intelligent Heart Sound Abnormal Diagnosis Chip Based on LSTM for Wearable Applications[J]. Journal of Electronics & Information Technology, 2024, 46(2): 555-563. doi: 10.11999/JEIT230934

Citation:

ZHOU Weixin, GAO Zhaogang, XIAO Wan'ang. Intelligent Heart Sound Abnormal Diagnosis Chip Based on LSTM for Wearable Applications[J]. Journal of Electronics & Information Technology, 2024, 46(2): 555-563. doi: 10.11999/JEIT230934

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Intelligent Heart Sound Abnormal Diagnosis Chip Based on LSTM for Wearable Applications

doi: 10.11999/JEIT230934

ZHOU Weixin^{1, 2},
GAO Zhaogang³,
XIAO Wan'ang^{1, 2
,
,}

1.
Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
2.
School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing 100049, China
3.
China Agricultural University, Beijing 100083, China

Funds: The Key Research Program of the Chinese Academy of Sciences (XDPB22)

Received Date: 2023-08-28
Rev Recd Date: 2024-01-17

Available Online: 2024-01-23

Publish Date: 2024-02-29

Abstract

Abstract

The gravity of cardiovascular disease hazards necessitates the utmost importance of preventive measures and early diagnosis for such ailments. Conventional manual auscultation techniques and computer-based diagnostic methods prove inadequate in meeting the demands of auscultation. Consequently, wearable devices attract increasing attention, but they are required to obtain both a high accuracy and low-power consumption. An intelligent heart sound abnormal diagnostic chip based on LSTM for wearable applications is presented. The abnormal heart sound diagnostic system is developed, including preprocessing, feature extraction, and abnormal diagnosis. Furthermore, an FPGA-based system for heart sounds acquisition is constructed. The challenge of imbalanced datasets is addressed through the implementation of data augmentation techniques. By utilizing pre-trained model as a foundation, the intelligent heart sound abnormal diagnostic chip is developed, and the layout and MPW are finished under SMIC 180nm. The post-simulation results demonstrate that the chip achieves a diagnostic accuracy of 98.6%, a power consumption of 762 μW, and an area of 3.06 mm$ \times $2.45 mm, meeting the high-performance and low-power consumption prerequisites of wearable devices.
- Wearable applications,
- Heart sound,
- Abnormal diagnosis,
- LSTM,
- Low-power

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References(23)

References

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