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  3. Research Domains
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  9. Radio Frequency Engineering
  11. A Review On Recent Advancements Of Biomedical Radar For Clinical Applications.
  1. Home
  3. Research Domains
  5. Engineering
  7. Electronics, Sensors And Digital Hardware
  9. Radio Frequency Engineering
  11. A Review On Recent Advancements Of Biomedical Radar For Clinical Applications.

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A Review on Recent Advancements of Biomedical Radar for Clinical Applications.

Shuqin Dong1,2, Li Wen1,2, Yangtao Ye1,2

  • 1State Key Laboratory of Radio Frequency Heterogeneous Integration and MoE Key Laboratory of Artificial IntelligenceShanghai Jiao Tong University Shanghai 200240 China.

IEEE Open Journal of Engineering in Medicine and Biology
|August 26, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Biomedical radar offers a non-invasive alternative to traditional medical instruments. Advancements in radar hardware, signal processing, and machine learning are driving innovation in healthcare applications.

Keywords:
Biomedical radarcardiopulmonary activityclinical applicationdisplacement detection

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Area of Science:

  • Biomedical engineering
  • Medical instrumentation
  • Radar technology

Background:

  • Traditional medical instruments often require uncomfortable contact electrodes.
  • Biomedical radar presents a non-invasive approach for monitoring human activities.
  • Recent years have seen significant progress in biomedical radar technology.

Purpose of the Study:

  • To review recent breakthroughs and applications of biomedical radar.
  • To highlight the transformative potential of radar in clinical settings.
  • To discuss advancements in hardware, signal processing, and machine learning for biomedical radar.

Main Methods:

  • Review of advancements in radar hardware, focusing on miniaturization, resolution, and sensitivity.
  • Exploration of signal processing and machine learning techniques for radar data analysis.
medical Internet of Things
  • Synthesis of current research on biomedical radar applications.

    • Main Results:

    • Improvements in radar hardware enhance performance for biomedical monitoring.
    • Advanced signal processing and machine learning enable sophisticated data interpretation.
    • Biomedical radar shows promise for diverse healthcare applications.

    Conclusions:

    • Biomedical radar technology is rapidly advancing with significant clinical potential.
    • Non-invasive monitoring capabilities offer advantages over traditional methods.
    • Future applications include diagnostics, patient care, and healthcare innovation.