A transcutaneous data telemetry system tolerant to power telemetry interference

Mingcui Zhou, Wentai Liu, Guoxing Wang, Mohanasankar Sivaprakasam, Mehmet R. Yuce, James D. Weiland, Mark S. Humayun

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

10 Citations (Scopus)

Abstract

Minimally-invasive implanted devices usually transmit both power and data through inductive coupling. By separating power and data carriers into different frequency bands, a high data rate can be transmitted without affecting power link efficiency. However in a dual band approach, the electromagnetic field from the power link interferes with data transmission. This paper presents a high data rate Differential Phase Shift Keying (DPSK) telemetry designed to tolerate interference without electromagnetic shielding or a high-order filter. On the transmitter side, by analyzing the nature of the interference, "frequency pre-distortion" is introduced to maintain the maximum efficiency. On the receiver side, a differential scheme is employed to provide inherent interference rejection. Using subsampling and novel analog demodulation, the scheme also eliminates the requirement of carrier recovery, thus reducing circuit complexity. The receiver achieves a 1Mbps data rate and can be upgraded to 2Mbps.

Original languageEnglish
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages5884-5887
Number of pages4
DOIs
Publication statusPublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: 2006 Aug 302006 Sept 3

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/TerritoryUnited States
CityNew York, NY
Period06-08-3006-09-03

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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