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Related Experiment Video

Updated: Jun 18, 2026

Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement
06:58

Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement

Published on: June 25, 2016

A system-level view of optimizing high-channel-count wireless biosignal telemetry.

Rodney J Chandler1, Sarah Gibson, Vaibhav Karkare

  • 1Department of Electrical Engineering, University of California-Los Angeles, CA, USA. rodneyc@ucla.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary

Related Concept Videos

Maximum Power Transfer01:16

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...

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This study analyzes wireless biosignal telemetry systems, detailing component power dissipation based on channel count and architecture. Findings aid in designing efficient biosignal monitoring devices.

Area of Science:

  • Biomedical Engineering
  • Electrical Engineering
  • Signal Processing

Background:

  • Wireless biosignal telemetry systems are crucial for remote patient monitoring.
  • System design involves trade-offs between performance and power consumption.
  • Diverse applications necessitate adaptable system architectures.

Purpose of the Study:

  • To conduct a comprehensive system-level analysis of wireless biosignal telemetry systems.
  • To evaluate power dissipation across major system components.
  • To provide insights into design limitations and architectural strategies.

Main Methods:

  • System-level analysis of key components: analog front end, analog-to-digital converter, digital signal processor, and wireless link.
  • Consideration of physical, algorithmic, and design limitations.

Related Experiment Videos

Last Updated: Jun 18, 2026

Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement
06:58

Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement

Published on: June 25, 2016

  • Plotting component and system power dissipation versus channel count for various architectures.

    • Main Results:

    • Detailed power dissipation analysis for individual components and the complete system.
    • Graphical representation of power consumption across different architectural strategies.
    • Comparison of analyzed results with existing wireless biosignal telemetry system implementations.

    Conclusions:

    • The analysis provides a broad overview applicable to diverse wireless biosignal telemetry applications.
    • Identified trade-offs inform the selection of optimal architectures for specific requirements.
    • Results offer valuable data for the design and optimization of future biosignal monitoring systems.