Wearable electrocardiogram real-time diagnosis system based on deep neural network

• Main Authors: RAN SHAOLIN, CHENG CHENG, YUAN YE, ZHOU ZIHENG
• Format: Patent
• Language: Chinese; English
• Published: 07.12.2021
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention discloses a wearable electrocardiogram real-time diagnosis system based on a deep neural network, and belongs to the technical field of medical instruments, the wearable electrocardiogram real-time diagnosis system comprises a signal acquisition module and a master control module, the signal acquisition module is used for acquiring a 12-lead electrocardiogram; the main control module comprises a diagnosis model embedded in the FPGA, the diagnosis model is a trained deep neural network, the main control module is used for carrying out real-time diagnosis on the 12-lead electrocardiogram, a convolution accelerator in the FPGA configures parameters for each convolution layer in the diagnosis model in a time division multiplexing mode in the diagnosis process to complete convolution operation, and a diagnosis result is obtained. According to the invention, the diagnosis model is embedded into the FPGA, dependence on network transmission is reduced, real-time diagnosis is achieved, the 12-lead electr