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Effect of Electromagnetic Interference on Human Body Communication

PAPER manual 2016 Engineering / measurement Effect: harm Evidence: Low

Abstract

Effect of Electromagnetic Interference on Human Body Communication Jung-Hwan Hwang ; Tae-Wook Kang ; Jong-Hwa Kwon ; Seong-Ook Park. Effect of Electromagnetic Interference on Human Body Communication. IEEE Transactions on Electromagnetic Compatibility. PP(99):1-10. 22 September 2016.DOI: 10.1109/TEMC.2016.2598582 Abstract In human body communication (HBC), the human body is used as a medium for transmitting data between devices as a replacement for wired and wireless technologies. The human body functions as an antenna in the low-frequency band used by HBC. Owing to this antenna function, electromagnetic waves radiating from electronic devices or wireless services cause electromagnetic interference (EMI) in HBC devices. This paper addresses such EMI in HBC devices. The interference signal caused by EMI was measured while the human subject, who was using an HBC device, was exposed to a general EMI environment at multiple sites. Using the interference model obtained from the measured interference signals, bit-error-rate degradation caused by the interference signal was simulated. The interference model presented in this paper can be effectively used to achieve reliable data communication in various HBC devices. ieeexplore.ieee.org

AI evidence extraction

At a glance
Study type
Engineering / measurement
Effect direction
harm
Population
Human subject using a human body communication (HBC) device
Sample size
Exposure
low-frequency general EMI environment (electronic devices or wireless services)
Evidence strength
Low
Confidence: 74% · Peer-reviewed: yes

Main findings

Interference signals due to electromagnetic interference (EMI) were measured in a human subject using an HBC device across multiple sites in a general EMI environment. Using a model derived from these measurements, the authors simulated bit-error-rate degradation caused by the interference signal and propose the model for improving reliability of HBC devices.

Outcomes measured

  • Interference signal measurements in HBC under EMI exposure
  • Simulated bit-error-rate (BER) degradation due to interference
  • Interference model for EMI in HBC devices

Limitations

  • Number of human subjects not reported in the abstract
  • Specific EMI sources and exposure characteristics (e.g., frequencies, field strengths) not reported in the abstract
  • BER results are based on simulation using a derived interference model rather than directly measured communication performance

Suggested hubs

  • occupational-exposure (0.2)
    Includes human exposure to a general EMI environment at multiple sites, though not explicitly occupational.
View raw extracted JSON
{
    "study_type": "engineering",
    "exposure": {
        "band": "low-frequency",
        "source": "general EMI environment (electronic devices or wireless services)",
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": null
    },
    "population": "Human subject using a human body communication (HBC) device",
    "sample_size": null,
    "outcomes": [
        "Interference signal measurements in HBC under EMI exposure",
        "Simulated bit-error-rate (BER) degradation due to interference",
        "Interference model for EMI in HBC devices"
    ],
    "main_findings": "Interference signals due to electromagnetic interference (EMI) were measured in a human subject using an HBC device across multiple sites in a general EMI environment. Using a model derived from these measurements, the authors simulated bit-error-rate degradation caused by the interference signal and propose the model for improving reliability of HBC devices.",
    "effect_direction": "harm",
    "limitations": [
        "Number of human subjects not reported in the abstract",
        "Specific EMI sources and exposure characteristics (e.g., frequencies, field strengths) not reported in the abstract",
        "BER results are based on simulation using a derived interference model rather than directly measured communication performance"
    ],
    "evidence_strength": "low",
    "confidence": 0.7399999999999999911182158029987476766109466552734375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "human body communication",
        "HBC",
        "electromagnetic interference",
        "EMI",
        "antenna effect",
        "low-frequency band",
        "interference model",
        "bit error rate",
        "BER degradation",
        "exposure assessment"
    ],
    "suggested_hubs": [
        {
            "slug": "occupational-exposure",
            "weight": 0.200000000000000011102230246251565404236316680908203125,
            "reason": "Includes human exposure to a general EMI environment at multiple sites, though not explicitly occupational."
        }
    ]
}

AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract/metadata and may be incomplete or incorrect. This content is for informational purposes only and is not medical advice.

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