Design and Manufacture of the Wireless Holter Monitoring Based - on ARM Micro Controller

Medical engineering systems nowadays play a very significant role in the diagnosis of various diseases. One of the most applicable devices of the medical engineering are receiving and recording devices of the heart signals, such as electrocardiograph. Application of Holter monitoring devices could be known as one of the substantial methods of electrocardiograph during daily activities. In this article, design and manufacture of Holter monitoring device based-on ARM micro-controller are proposed.
Atmel's SAM3S Chip from the family of ARM has an eleven-channel transformer of analogue to digital which can transform analogue signals to digital values with 12 Bit accuracy by utilizing from ARM architecture used in the core of Cortex-M3 with the structure of Thumb2 processes the information with the speed of 60 MHZ. Furthermore, for receiving and reinforcement of heart signals, INA331 Chip, the product of TI Company was used. Using Chip CYRF6936, signals were transferred to the physician computer with maximum speed of one megabit/sec.
AT91Sam3S with the existence of the Internal Interface Circuit for communication with the external devices has enabled the system to be connected to memory cards and computer without requirement to any other interfaces. This instrumental amplifier with a single-polar feedback has 94dB Common-mode rejection ratio and 54dB amplification ratio. This chip has decreased the consumed power of the vehicle to 330 mW, which by using Lithium- polymer battery of 3000 mAH, the vehicle can be fed for one day without need for charge.
Using wireless communication, keeping the quality of the received signal from body, limitation of information reservation was removed. Furthermore, by simplifying analogue circuits, consumed power of the device was reduced and thus time used from the device was increased without the need for recharge. In addition, by using from low-consumption 32-Bit ARM processor, high processing power and digital process capability on the heart signals will be possible easily.