Improving Trace Generation and Analysis for Medical Devices

Blein, Yoann; Clere, Arnaud; Bertrand, Fabrice; Ledru, Yves; Groz, Roland; Bousquet, Lydie Du

doi:10.1109/qrs-c.2017.135

Cited by 1 publication

(1 citation statement)

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“…Therefore, after demodulation, a carrier creates sensitivity at the receiver's normal frequency, modulated with a standard test signal that provides a data signal with a defined BER of 10 − 2 specified effective message ratio of 80%. A new generation of M Ss indicates that these devices will play new roles in a variety of healthcare settings [28], [29] Passive components such as reception antennas, adaptation, and reception filters are examples of improving the device's sensitivity during the reception. On the other hand, there are several analytical methods to improve range.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Optimized Reception Sensitivity of WBAN Sensors Exploiting Network Coding and Modulation Techniques in an Advanced NB-IoT

Ar-Reyouchi¹,

Ghoumid

Yahiaoui³

et al. 2022

IEEE Access

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The sensitivity of the maximum useable data is the most significant characteristic that describes the quality of the Narrowband Internet of Things (NB-IoT) of Medical sensors (MS) receivers. It becomes the most important performance factor in mobile wireless communication networks, particularly wireless body area networks (WBAN). Our interest is in level sensitivity using modulation techniques and subcarrier spacing(SS) to achieve good Bit Error Rate (BER) performance, throughput, and power efficiencies for WBAN communication Systems in an advanced NB-IoT. We propose an efficient coding technique using Linear Network Coding (LNC) to improve sensitivity by considering several factors without affecting the human body. We also present an experimentally analyzed overview of the reception sensibility. Our research has revealed that the receiver sensitivity (minimum detectable signal level) and throughput of the proposed approach (PA) are much better than the conventional approach (CA), achieving more than 14.3% and 55%, respectively, compared to the CA. Also, the PA has improved the modulation types by approximately 45% to provide more throughput and reliability.

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Section: Related Work and Contributionsmentioning

confidence: 99%