Web Based High Accuracy ECG Detection and Healthcare System

In the field of health care systems like ECG detection, the system requires high accuracy and low data losses. But in achieving both of these goal, the system gets much complicate. This paper presents the design of web based embedded programmable ECG monitoring system and detection of ECG characteristic points using joint QRS detection and data compression technique implemented using ARM 7 processor. 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 detected ECG waveform and other body parameters are transmitted to local host and then to internet server using web based system by which anyone could monitor the patient's health condition wirelessly. 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) would 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. An adaptive linear data prediction scheme based algorithm is used for joint QRS detection and lossless data compression, 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.