Embedded Bio-medical Diagnosis System-on-Chip Design (III)

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details


This integration project aims at designing a SoC (System-on-Chip) for physiological examination. The SoC will be an embedded system using ARM922T as its core processor. We expect the SoC will achieve the functions listed as follows: (1) suspicious arrhythmia detection, storage and transmission for further diagnosis, (2) ECG (Electrocardiogram) features such as RR, PR, QT, ST intervals computation, (3) qualitative and quantitative HRV (Heart Rate Variability) analysis for diagnostic decision support, and (4) analog-to-digital processing as well as wireless communication for more flexibility and conveniently medical environment. This program project is composed of five subprojects. Subproject I deals with the design of the analog multiplexer, the sample-and-hold circuit, and the A/D converter with research emphasis on low voltage, low power, low noise and high precision techniques. Subproject II aims to the development of innovative, effective and reliable algorithms that accommodate for the real-time processing of the digitized biomedical signals. Subproject III is dedicated to the design of RF related modules with baseband communication circuits so that the SoC has the capability of wireless data transmission with minimal interference. Subproject IV deals with the integrated design of the IP units in the AMBA AHP/APB bus, the design of the system architecture and implementation of the firmware, and the design for testability for SoC. The objective of subproject V is to provide a series of efficient and comprehensive tools to perform physical verifications for the physiological examination SoC.

Project IDs

Project ID:PB9308-5073
External Project ID:NSC93-2220-E182-001
Effective start/end date01/08/0431/07/05


  • SoC (System-on-Chip)
  • embedded system
  • ARM processor
  • intellectual property (IP)
  • Electrocardiogram (ECG)
  • Heart Rate Variability (HRV)
  • biomedical signal processing


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