Wearable ECG Sensors Extraction and Processing

Research on low-power, low-noise, wearable and implantable portable electrocardiogram (ECG) sensors has been fully developed as well. The study of the processing of the various processes of ECG signal flow processing is a meticulous process. The input, processing, output, and analysis of the signal need to be studied in detail. This paper analyzes and studies the signal amplifier, analog-to-digital converter (ADC), and convolutional neural network (CNN) analysis of the signal. Basically, the entire process of signal processing is included. All three components are discussed in detail from structure to results. The signal amplifier section discusses the signal input, filtering, amplification, and noise, which make up the basic performance index of the amplifier. The structure of the ADC is analyzed, and the basic structure and performance of the Level Crossing ADC are investigated. the structure of the CNN is mainly derived from the traditional structure, and the optimization and improvement of the structure will greatly improve the recognition probability of the ECG signal.