Evaluation of Electromagnetic Noise Radiated from Tube-type LED Lamps and Its Effect on Wireless Medical Telemetry Systems

Ishida, Kai; Arie, Sazu; Wu, Ifong; Gotoh, Kunihito; Matsumoto, Yasushi

doi:10.1109/emceurope.2019.8872012

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…As described earlier, we can approximate most LED noise as Gaussian [5]. However, some LED noise has sequential or impulsive characteristics, with a cycle of 50 Hz derived from the Japanese mains power supply, even in the band-limited reception [25]. This sequential noise causes approximately 3 dB worth of receiver sensitivity compared with LED noise, which can approximate Gaussian noise.…”

Section: Limitationsmentioning

confidence: 99%

Novel Estimation Technique for the Carrier-to-Noise Ratio of Wireless Medical Telemetry Using Software-Defined Radio with Machine-Learning

Ishida

2022

Preprint

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In this study, we developed a novel machine-learning model to estimate the carrier-to-noise ratio (CNR) of wireless medical telemetry (WMT) using time-domain waveform data measured by a low-cost software-defined radio. If the CNR can be estimated automatically, the management of the electromagnetic environment of WMT can be easier. Therefore, we proposed a machine-learning method for estimating CNR. According to the performance evaluation results by 5-segment cross-validation on 704 types of measured data, CNR was estimated with 99.5% R-square and 0.844 dB mean absolute error using a gradient boosting regression tree. The gradient boosting decision tree classifiers predicted whether the CNR exceeded 30 dB with 99.5% accuracy. The proposed method is effective for investigating electromagnetic environments in clinical settings.

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Section: Limitationsmentioning

confidence: 99%

Novel Estimation Technique for the Carrier-to-Noise Ratio of Wireless Medical Telemetry Using Software-Defined Radio with Machine-Learning

Ishida

2022

Preprint

Self Cite

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“…We intended to increase BGN as the effect of LED noise on WMT. However, some LED noise has sequential or impulsive characteristics, with a cycle of 50 Hz derived from the Japanese mains power supply, even in the band-limited reception 32 . This sequential noise causes approximately 3 dB worth of receiver sensitivity compared to LED noise, which can be approximated as Gaussian noise.…”

Section: Adequacy and Limitationsmentioning

confidence: 99%

Novel estimation technique for the carrier-to-noise ratio of wireless medical telemetry using software-defined radio with machine-learning

Ishida

2023

Sci Rep

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In this study, we developed a novel machine-learning model to estimate the carrier-to-noise ratio (CNR) of wireless medical telemetry (WMT) using time-domain waveform data measured by a low-cost software-defined radio. With automatic estimation of CNR, the management of the electromagnetic environment of WMT can be made easier. Therefore, we proposed a machine-learning method for estimating CNR. According to the performance evaluation results by 5-segment cross-validation on 704 types of measured data, CNR was estimated with 99.5% R-square and 0.844 dB mean absolute error using a gradient boosting regression tree. The gradient boosting decision tree classifiers predicted if the CNR exceeded 30 dB with 99.5% accuracy. The proposed method is effective for investigating electromagnetic environments in clinical settings.

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“…The required carrier-to-noise ratio (CNR) was ~15 dB when the electromagnetic noise, which can adopt a Gaussian approximation (GA) regardless of the amplitude of the noise power, was added [5]. However, CNR was 3-4 dB worse regarding the electromagnetic noise, which exhibited impulsive characteristics; hence, it could not adopt GA [9]. The IM effect on the sensitivity of the WMTS receiver remains unclear.…”

Section: Intermodulation Effect On the Sensitivity Of The Wmtss Receivermentioning

confidence: 99%

Electromagnetic Compatibility Issues in 400-MHz-Band Wireless Medical Telemetry Systems and Their Management Using Simplified Methods for Safe Operation

Ishida,

Fujii,

Hanada

2023

Preprint

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Wireless medical telemetry systems (WMTSs) are typical radio communication–based medical devices that monitor various biological parameters, such as electrocardiograms and respiration rates. In Japan, the assigned frequency band for WMTSs is 400 MHz. However, the issues accounting for poor reception in WMTS constitute major concerns. For example, the 400 MHz frequency band is also shared by other radio communication systems. Further, the intermodulation (IM) effect significantly reduces reception in WMTS. Additionally, the electromagnetic noises generated from electrical devices, such as light-emitting diode lamps and security cameras, can exceed the 400 MHz frequency band as these devices employ the switched-mode power supply and/or central processing unit and radiate wideband emissions. In this study, we analyzed the effects of the electromagnetic interferences caused by other radio communication systems, the IM effect, and the noises generated from electrical devices on WMTS and discussed their management. Moreover, we proposed and evaluated simplified and facile methods for evaluating the electromagnetic environment.

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Evaluation of Electromagnetic Noise Radiated from Tube-type LED Lamps and Its Effect on Wireless Medical Telemetry Systems

Cited by 9 publications

References 11 publications

Novel Estimation Technique for the Carrier-to-Noise Ratio of Wireless Medical Telemetry Using Software-Defined Radio with Machine-Learning

Novel Estimation Technique for the Carrier-to-Noise Ratio of Wireless Medical Telemetry Using Software-Defined Radio with Machine-Learning

Novel estimation technique for the carrier-to-noise ratio of wireless medical telemetry using software-defined radio with machine-learning

Electromagnetic Compatibility Issues in 400-MHz-Band Wireless Medical Telemetry Systems and Their Management Using Simplified Methods for Safe Operation

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