A multi-channel multi-mode physiological signals acquisition and analysis platform

Sheng Cheng Lee, Tsan Jieh Chen, Her-Ming Chiueh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

With the recent evolution of medical device developments, physiological signal acquisition system is widely used in health monitoring, brain machine interface, and neural prosthesis, etc. In this paper, a multi-channel multi-mode biomedical signal acquisition and analysis platform is designed and implanted. The platform includes a customized low-distortion, high signal-to-noise ratio (SNR) analog to digital converter (ADC), and a field-programmable gate array (FPGA) with an embedded soft-core of 32-bit RISC processor. A multimode ADC was developed to meet the resolution and bandwidth requirement of different physiological signals. The soft-core and its corresponding software was designed and implemented to provide a versatile platform for different bio-medical applications. The integration of multi-mode data converter and signal processing platform enable the turnkey solution to develop different bio-medical applications such as on-line seizure detection, heart rate monitor, physiological signals recorder, etc.

Original languageEnglish
Title of host publication2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Pages397-400
Number of pages4
DOIs
StatePublished - 9 Sep 2013
Event2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013 - Beijing, China
Duration: 19 May 201323 May 2013

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
CountryChina
CityBeijing
Period19/05/1323/05/13

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  • Cite this

    Lee, S. C., Chen, T. J., & Chiueh, H-M. (2013). A multi-channel multi-mode physiological signals acquisition and analysis platform. In 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013 (pp. 397-400). [6571864] (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2013.6571864