The implementation of Joint QRS Detection and Data Compression Scheme for Web Based High Accuracy ECG Detection and Healthcare System
This paper presents the design of a complete package for an embedded programmable ECG monitoring system and detection of ECG characteristic points using joint QRS detection and data compression technique. The system also detects and monitors the other important parameters related to the human body, such as blood pressure and body temperature and displays it on the LCD screen. This system is expected to work more conveniently and accurately for the doctor to monitor the patient's condition sitting in his own office without being physically present near to the patient's bed. A low voltage and high performance analog signal conditioning circuit is built to insure high signal quality. A joint approach for QRS detection and lossless data compression (JQDC) will result in lower overall system complexity. By sharing the computational load among multiple essential signal processing tasks, the average complexity per task can be kept at low level. The algorithm for joint QRS detection and lossless data compression is based on an adaptive linear data prediction scheme which achieves high sensitivity and positive prediction +P) Lower system complexity and better performance will make this algorithm suitable for portable ECG application. The web based wireless transmission technique is used so that the detected human body parameters can be transmitted to the doctor remotely. The system is built using ARM 7 processor which ensures high accuracy performance and consistent result in the timing operation of the system.