• Title/Summary/Keyword: Biomagnetic diagnosis system

Search Result 2, Processing Time 0.02 seconds

Development of 64-Channel 12-bit 1ks/s Hardware for MCG Signal Acquisition (심자도 신호 획득을 위한 실시간 64-Ch 12-bit 1ks/s 하드웨어 개발)

  • Lee, Dong-Ha;Yoo, Jae-Tack
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 2004.07b
    • /
    • pp.902-905
    • /
    • 2004
  • A heart diagnosis system adopts Superconducting Quantum Interface Device(SQUID) sensors for precision MCG signal acquisitions. Such system is composed of hundreds of sensors, requiring fast signal sampling and precise analog-digital conversions(ADC). Our development of hardware board, processing 64-channel 12-bit 1ks/s, is built by using 8-channel ADC chips, 8-bit microprocessors, SPI interfaces, and parallel data transfers between microprocessors to meet the 1ks/s, i.e. 1 ms speed. The test result shows that the signal acquisition is done in 168 usuc which is much shorter than the required 1 ms period. This hardware will be extended to 256 channel data acquisition to be used for the diagnosis system.

  • PDF

Implementation of high-speed parallel data transfer for MCG signal acquisition (심자도 신호 획득을 위한 고속 병렬 데이터 전송 구현)

  • Lee, Dong-Ha;Yoo, Jae-Tack
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 2004.11a
    • /
    • pp.444-447
    • /
    • 2004
  • A heart diagnosis system adopts hundreds of Superconducting Quantum Interface Device(SQUID) sensors for precision MCG(Magnetocardiogram) or MEG(Magnetoencephalogram) signal acquisitions. This system requires correct and real-time data acquisition from the sensors in a required sampling interval, i.e., 1 mili-second. This paper presents our hardware design and test results, to acquire data from 256 channel analog signal with 1-ksample/sec speed, using 12-bit 8-channel ADC devices, SPI interfaces, parallel interfaces, and 8-bit microprocessors. We chose to implement parallel data transfer between microprocessors as an effective way of achieving such data collection. Our result concludes that the data collection can be done in 250 ${\mu}sec$ time-interval.

  • PDF