Beat-to-beat Heart Rate Detection Based on Seismocardiogram Using BiLSTM Network

被引：0

作者：

Chen, Yuhang ^{[1
]}

Xu, WenChang ^{[2
]}

Zhu, Wenliang ^{[1
]}

Ma, Gang ^{[1
]}

Chen, Xiaohe ^{[2
]}

Wang, Lirong ^{[3
]}

机构：

[1] Univ Sci & Technol China, Suzhou Inst Biomed Engn & Technol, Suzhou, Peoples R China

[2] Suzhou Inst Biomed Engn & Technol, Suzhou, Peoples R China

[3] Soochow Univ, Sch Elect & Informat Engn, Suzhou, Peoples R China

来源：

2021 IEEE 20TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2021) | 2021年

关键词：

Seismocardiogram; Electrocardiogram; BiLSTM network; cardiac monitoring; accelerometer;

D O I：

10.1109/TRUSTCOM53373.2021.00216

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The detection of consecutive cardiac cycles plays an important role in the daily monitoring of cardiovascular diseases. The Seismocardiogram (SCG) signal measures the cardiac-induced vibrations and is suitable for continuously tracking since it can be measured in a non-invasive fashion. In this paper, a beat-to-beat heart rate detection method based on low-frequency SCG signal using BiLSTM network is proposed. The regression model to predict Electrocardiogram (ECG) from SCG was trained on CEBS dataset and a 5-fold cross-validation method was adopted. The RMSE of the predicted ECG signal and ECG signal was 0.0367. The sensitivity and precision achieved 0.97 and 0.98 separately and the Spearman Correlation was 0.98. This work shows promise for the proposed SCG based methodology to be used as an alternative to ECG for continuous beat-to-beat heart rate monitoring.

引用

页码：1503 / 1507

页数：5

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