集成电路与嵌入式系统2024，Vol.24Issue(8)：1-6,6.DOI:10.20193/j.ices2097-4191.2024.0009
基于二维卷积的连续血压预测系统
Continuous blood pressure prediction system based on two-dimensional convolution
摘要
Abstract
To address the demands of digital acquisition of vital signs signals and continuous blood pressure prediction,this paper designs and constructs a continuous blood pressure prediction system based on two-dimensional(2D)convolution.The system hardware adopts ESP32 module,AD8232 module and PulseSensor sensor to collect the human electrocardiography(ECG)and photoplethysmography(PPG)signal data,which are then transmitted to the server through the MQTT protocol for the consequent processing.Regarding the algorithms of this paper,a neural network model using ECG and PPG signals was designed and trained to predict continuous human blood pressure,employing the Gramian angular difference field(GADF),2D convolution,and model pruning techniques.The performance of the continuous blood pressure prediction model is verified on both classic open-source datasets and self-collected datasets.This system proposed in this paper provides a practical reference scheme for the vital signs signal acquisition and continuous blood pressure prediction.关键词
体征信号采集/连续血压预测/格拉米角场/二维卷积/模型剪枝Key words
vital sign signal acquisition/continue blood pressure prediction/Gramian angular field/2D convolution/model pruning分类
信息技术与安全科学引用本文复制引用
崔守毅,杨国伟,何羽恒,管静萱,胡远凝,廖丹丹,荆凯..基于二维卷积的连续血压预测系统[J].集成电路与嵌入式系统,2024,24(8):1-6,6.基金项目
国家自然科学基金资助项目(52175460). （52175460）
