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DOI 10.1109/tbcas.2026.3719439

Медицинская библиотека · IEEE transactions on biomedical circuits and systems · 2026

Motion-Aware Low-Power Wearable Photoplethysmography System with Metamaterial-Enhanced Wireless Telemetry.

Khurelbaatar Luvsanbat, Zhang Jungang, Wang Jiaoran, Mokhtarzade Ali, Yalagala Bhavani, Khosravi Pouya, U Chi-Wa, Amjadi Morteza, Heidari Hadi

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Аннотация

In wireless photoplethysmography (PPG) systems, motion artifacts (MAs) and high-power consumption of PPG data acquisition are the critical bottlenecks. MAs induced by body movement during long-term wear significantly degrade PPG signal fidelity, thereby increasing post-processing power consumption. Although previous studies have investigated MA mitigation, power optimization, and wireless connectivity independently, their co-design and system-level integration remains largely unexplored. This paper presents a motion-controlled wearable (MCW) wireless PPG sensing system that features an autonomous motion-gated sampling technique, adaptive power management, and robust data transfer via a metamaterial-enhanced telemetry link. The MCW system autonomously employs motion-gated sampling to acquire heart rate (HR) and blood oxygen saturation (SpO2) data under different physical activities. The motion-gated sampling algorithm reduces system power consumption by 55% from its active mode while ensuring robust physiological measurements accuracy. Experimental results demonstrate Mean Absolute Errors (MAEs) ranging from 1.5-6.2 BPM (HR) and 0.5-1.0 % (SpO2) across sitting, standing, walking, and running motions, while maintaining PPG signal-to-noise ratio 10 dB under all evaluated activities. Additionally, integrating an electromagnetic bandgap (EBG) structured metamaterial enhances the on-body antenna's performance and decreases the specific absorption rate (SAR) from 4.36 W/kg to 1.677 W/kg. The proposed MCW system, encapsulated in silicone, provides a compact, energy-efficient platform for reliable long-term wearable cardiovascular monitoring.

Для цитирования: Khurelbaatar Luvsanbat, Zhang Jungang, Wang Jiaoran, Mokhtarzade Ali, Yalagala Bhavani, Khosravi Pouya, U Chi-Wa, Amjadi Morteza, Heidari Hadi. Motion-Aware Low-Power Wearable Photoplethysmography System with Metamaterial-Enhanced Wireless Telemetry.. IEEE transactions on biomedical circuits and systems. 2026. DOI: 10.1109/tbcas.2026.3719439.
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