Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A programmable microsystem using system-on-chip for real-time biotelemetry.

Lei Wang1, Erik A Johannessen, Paul A Hammond

  • 1Department of Electronics and Electrical Engineering, University of Glasglow, Glasgow G12 8LT, UK. l.wang@elec.gla.ac.uk

IEEE Transactions on Bio-Medical Engineering
|July 27, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Incorporating real-world scenarios during initial validation stages of point-of-care human papillomavirus (HPV) screening tests: a scoping review.

Sexually transmitted infections·2026
Same author

Rapid detection and quantification of glyphosate in water using a handheld portable biosensor.

Scientific reports·2026
Same author

Systematic review of point-of-need molecular diagnostics for rotavirus and enteric adenoviruses F40/F41.

BMC infectious diseases·2026
Same author

One-pot CRISPR-based point of care platform for rapid, specific and sensitive detection of HPV 16 without pre-amplification.

Microsystems & nanoengineering·2026
Same author

Lateral flow biosensors for low abundance detection of brain natriuretic peptide with enzyme-free amplification.

Lab on a chip·2026
Same author

Rapid culture-free diagnosis of clinical pathogens via integrated microfluidic-Raman micro-spectroscopy.

Nature communications·2025
Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026
Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026
Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

IEEE transactions on bio-medical engineering·2026
Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026
See all related articles

This study presents a low-power telemetry microsystem for real-time data retrieval. The compact wireless device, optimized for size and power, demonstrated effective performance comparable to conventional radio frequency (RF) systems.

Area of Science:

  • Biomedical Engineering
  • Microelectronics
  • Wireless Communication

Background:

  • Development of integrated telemetry systems is crucial for remote monitoring.
  • Existing systems often face limitations in power consumption, size, and reusability of components.
  • System-on-Chip (SoC) methodologies offer a pathway to miniaturization and integration.

Purpose of the Study:

  • To design and implement a low-power, integrated telemetry microsystem.
  • To optimize the system for size, power consumption, and module reusability.
  • To evaluate the performance and efficiency of the developed telemetry system.

Main Methods:

  • Employed System-on-Chip (SoC) design methodology for integrated circuit instrumentation.
  • Utilized a 0.6 microm, 3.3 V CMOS process for a 5 mm x 5 mm silicon chip.

Related Experiment Videos

  • Integrated mixed-signal sensor circuits, programmable digital system, clock control loop, and RF circuits.
  • Minimized signal coupling through careful floor-planning.
  • Packaged the chip, sensors, transmitter, and power cells into a 36 mm x 12 mm capsule.

    • Main Results:

    • Achieved a compact, low-power telemetry microsystem with integrated sensors and wireless capabilities.
    • Demonstrated effective data retrieval in real-time with an adaptive, timing-tolerant base station.
    • Reported a packet error rate of 10(-3) using an asynchronous simplex link.
    • Experimental trials showed comparable effectiveness to conventional RF devices with reduced power consumption.

    Conclusions:

    • The developed telemetry microsystem successfully integrates multiple functions onto a single chip.
    • The SoC approach facilitates module reuse for future applications.
    • The system offers a power-efficient and compact solution for wireless data telemetry, suitable for various applications.