IEEE transactions on biomedical circuits and systems最新文献

An Ultrasound-Powering Transmitter IC with Standing-Wave Peak Tracking for Real-Time Power Regulation of Brain Implants. 一种用于脑植入物实时功率调节的驻波峰值跟踪超声供电发射机IC。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-10-19 DOI: 10.1109/TBCAS.2026.3744180

Marios Gourdouparis, Chengyao Shi, Jiang Liu, Yuming He, Stefano Stanzione, Wouter Serdijn, Yao-Hong Liu

{"title":"An Ultrasound-Powering Transmitter IC with Standing-Wave Peak Tracking for Real-Time Power Regulation of Brain Implants.","authors":"Marios Gourdouparis, Chengyao Shi, Jiang Liu, Yuming He, Stefano Stanzione, Wouter Serdijn, Yao-Hong Liu","doi":"10.1109/TBCAS.2026.3744180","DOIUrl":"https://doi.org/10.1109/TBCAS.2026.3744180","url":null,"abstract":"Ultrasound (US) can enable power efficient and miniaturized wireless powering of brain implants on the cortical surface. However, due to the presence of ultrasound standing waves, variations of the powering distance drastically affect the power delivered to the load (PDL), making the link unreliable. This paper presents an ultrasound powering transmitter IC with Standing Wave Peak (SWP) tracking, tuning the ultrasound frequency to ensure operation at the peak of the standing wave. Thus, real time implant power (PDL) regulation under powering distance variations is achieved. First, PDL is locally monitored on the TX with the proposed adiabatic power sensing, without requiring any power monitoring or dedicated uplink on the RX implant side and achieving high accuracy and low power consumption. Based on the PDL sensing information, the proposed SWP tracking loop enables fast US frequency tuning to achieve maximum PDL. The 3.375mm2 65nm CMOS US powering TX is the first work demonstrating on-chip SWP tracking. With the TX delivering 3.4 mW of acoustic power, SWP tracking can achieve up to 2.7× improvement in PDL, with more than 82% of power tracking accuracy and only 43 μW of power overhead. The SWP tracking loop settles to the frequency that maximizes PDL in less than 90ms, enabling PDL regulation even under powering distance variations caused by fast movements such as the heartbeat.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149224849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Frequency-Division Multiplexed Wearable Wireless Sensor Network for Real-Time Motion Tracking using Magnetic Induction. 基于磁感应的实时运动跟踪的频分多路可穿戴无线传感器网络。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-10-12 DOI: 10.1109/TBCAS.2026.3742807

Michella Rustom, Alireza Farhadian, Garrett Knuf, Mahta Moghaddam, Constantine Sideris

{"title":"Frequency-Division Multiplexed Wearable Wireless Sensor Network for Real-Time Motion Tracking using Magnetic Induction.","authors":"Michella Rustom, Alireza Farhadian, Garrett Knuf, Mahta Moghaddam, Constantine Sideris","doi":"10.1109/TBCAS.2026.3742807","DOIUrl":"https://doi.org/10.1109/TBCAS.2026.3742807","url":null,"abstract":"A new scheme is proposed for real-time multi-joint motion tracking using an on-body sensor network based on frequency-division multiplexed (FDM) magnetic induction (MI). The system employs wearable wireless sensor nodes that extract spatial information from measured node-to-node magnetic coupling. Unlike camera- or accelerometer-based motion-tracking approaches, the MI-based method does not require line of sight and does not accumulate errors due to sensor drift. A custom MI transceiver chip, fabricated in a standard bulk Complementary Metal Oxide Semiconductor (CMOS) process, drives a wearable coil and simultaneously measures tones transmitted by other nodes in full-duplex operation. The chip integrates a fully custom digital signal processor for real-time data analysis and supports a configurable capture rate of up to 977 frames per second. The system is experimentally validated using a 3D printed two-joint leg model and on-body demonstrations, and benchmarked against an open-source camera-based human pose estimation pipeline, demonstrating fully wireless, real-time MI-based motion tracking.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149169335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Omnidirectional Magnetoelectric Wireless Power Transfer for Implantable Intracranial Pressure Monitoring. 全向磁电无线传输用于植入式颅内压监测。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-10-06 DOI: 10.1109/TBCAS.2026.3740102

Hao Gu, Chenye Zhang, Ziyun Chen, Yahui Ji, Jie Jiao, Tianling Ren, Fan Yang, Tianxiang Nan

{"title":"Omnidirectional Magnetoelectric Wireless Power Transfer for Implantable Intracranial Pressure Monitoring.","authors":"Hao Gu, Chenye Zhang, Ziyun Chen, Yahui Ji, Jie Jiao, Tianling Ren, Fan Yang, Tianxiang Nan","doi":"10.1109/TBCAS.2026.3740102","DOIUrl":"https://doi.org/10.1109/TBCAS.2026.3740102","url":null,"abstract":"Wireless power transfer is attractive for battery-free intracranial pressure (ICP) monitors, but practical operation is often limited by angular misalignment between the external transmitter and the implanted receiver. Magnetoelectric (ME) receivers offer a compact, sub-MHz, and high-sensitivity alternative to conventional receivers, but a single ME element still suffers from a severe power drop near 90-degree misalignment because of its anisotropic magnetic response. Here, we present a three-axis ME wireless power receiver that provides robustness against transmitter-receiver angular misalignment for battery-free ICP monitoring. The receiver integrates three orthogonal Metglas/PMN-PT/Metglas ME elements, each with a compact size of 6 × 2 × 0.65 mm3 and a voltage sensitivity of 0.17 Vp/μT near 200 kHz. To improve rectifier driving capability, a C-L step-up impedance matching network was designed for the high-impedance ME source, increasing the rectified output voltage by 3.2-fold under the tested condition. A voltage-balanced parallel energy-combining circuit was used to suppress inter-axis clamping and combine harvested currents across orthogonal axes. The integrated receiver achieved a peak received power of 4 mW at a 20-mm transmission distance and maintained an angular tolerance index of 95.7%. A 10 × 10 × 8 mm3 encapsulated prototype was validated in the epidural space of an ex vivo porcine head model, maintaining >3.15 mW output across full 0°-180° spatial rotations of the external transmitter and enabling uninterrupted Bluetooth telemetry with 0% packet loss at 50 cm.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149120601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A High-Pixel-Density, Wide-DR Subretinal Prosthesis SoC with Power-Aware Light Adaptation and Charge-Recycling Local Dynamic Supply. 具有功率感知光适应和电荷回收局部动态供电的高像素密度、宽dr视网膜下假体SoC。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-09-25 DOI: 10.1109/TBCAS.2026.3732468

Kyeongho Eom, Hyun-Su Lee, Minju Kim, Maesoon Im, Hyung-Min Lee

{"title":"A High-Pixel-Density, Wide-DR Subretinal Prosthesis SoC with Power-Aware Light Adaptation and Charge-Recycling Local Dynamic Supply.","authors":"Kyeongho Eom, Hyun-Su Lee, Minju Kim, Maesoon Im, Hyung-Min Lee","doi":"10.1109/TBCAS.2026.3732468","DOIUrl":"10.1109/TBCAS.2026.3732468","url":null,"abstract":"This paper presents a 400-pixel light-adaptive retinal prosthesis (LARP) system-on-chip (SoC) that aims to support visual perception restoration. The proposed LARP SoC incorporates the power-aware light adaptation (PALA) engine and exposure-controlled light sensor (ECLS) to extend the effective light-sensing dynamic range to 55.48dB within a constrained pixel size. By combining charge-recycling auto-level-sorting multi-supply (CAM) generation with local dynamic supply (LDS) selection, the proposed system optimizes stimulation energy, with simulations showing up to a 45% reduction in stimulation energy consumption compared with conventional fixed-supply stimulation systems. The proposed pixel-clustering architecture integrates compact 80-μm × 80-μm pixels and employs a local return-electrode scheme, with the aim of potentially enhancing visual resolution by confining stimulation currents locally. Ex vivo experiments using wild-type and rd10 mouse retinas demonstrate the functionality of the LARP SoC, showing that it successfully evokes neural responses comparable to those produced by a commercial stimulator.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149066834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FiLMamba: A FiLM-Conditioned Mamba Architecture with an Energy-Efficient FPGA Accelerator for Generalizable Cuffless Blood Pressure Estimation. FiLMamba：一种带有节能FPGA加速器的薄膜调节曼巴架构，用于通用无袖带血压估计。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-09-22 DOI: 10.1109/TBCAS.2026.3736710

Fan He, Jinhong Wu, Wenxian Li, Yan Li, Xiaoyang Zeng

{"title":"FiLMamba: A FiLM-Conditioned Mamba Architecture with an Energy-Efficient FPGA Accelerator for Generalizable Cuffless Blood Pressure Estimation.","authors":"Fan He, Jinhong Wu, Wenxian Li, Yan Li, Xiaoyang Zeng","doi":"10.1109/TBCAS.2026.3736710","DOIUrl":"10.1109/TBCAS.2026.3736710","url":null,"abstract":"Cuffless blood pressure (BP) estimation from photoplethysmography (PPG) is limited by a morphology-BP ambiguity that similar waveforms map to different pressures across subjects, causing population-trained models to collapse into mean regression. We propose FiLMamba, a selective state-space model conditioned via Feature-wise Linear Modulation (FiLM) on a 4-D hemodynamic state vector, and Cross-Domain Hemodynamic Alignment (CDHA), which orthogonally decomposes residual cross-corpus shift into unlabeled batch-normalization recalibration and additive bias correction per calibration unit. On MIMIC-BP across 1,524 patients, FiLMamba achieves SBP/DBP standard deviation of error (SDE) of 6.45/4.96mmHg with >2.5× improvement over unconditioned baselines, satisfying Association for the Advancement of Medical Instrumentation (AAMI) compliance. Under training-free transfer, it further reaches 4.29/3.24mmHg on UCI-BP, the first AAMI-compliant training-free cross-dataset result in cuffless BP estimation. A dedicated FPGA accelerator specializes this stack on Zynq UltraScale+ through Heterogeneous Engine Reuse Orchestration (HERO) and Persistent Recurrent In-SRAM Mamba (PRISM), operating at 0.514W dynamic power and 150MHz with 8.23 μJ per sample, 15.3-41.1× below evaluated CPU/GPU platforms, and an energy-delay product of 0.046 J·s that is 1.87-14.8× below every general-purpose baseline.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149027249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital-Based Potentiostat and Mesoporous Microelectrode Co-Design for Non-Enzymatic Glucose Detection at 0.3V- V_DD and 1.65nW-Power. 基于数字恒电位器和介孔微电极的非酶葡萄糖检测协同设计，0.3V- VDD和1.65 nw -功率。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-08-31 DOI: 10.1109/TBCAS.2026.3728240

Andrea De Gregorio, Mara Serrapede, Danilo Kaddouri, Paolo Angelini, Giuseppe Bruno, Simone Luigi Marasso, Salvatore Guastella, Andrea Lamberti, Paolo Crovetti

{"title":"Digital-Based Potentiostat and Mesoporous Microelectrode Co-Design for Non-Enzymatic Glucose Detection at 0.3V- VDD and 1.65nW-Power.","authors":"Andrea De Gregorio, Mara Serrapede, Danilo Kaddouri, Paolo Angelini, Giuseppe Bruno, Simone Luigi Marasso, Salvatore Guastella, Andrea Lamberti, Paolo Crovetti","doi":"10.1109/TBCAS.2026.3728240","DOIUrl":"https://doi.org/10.1109/TBCAS.2026.3728240","url":null,"abstract":"This paper presents a proof-of-concept ultra-low voltage and ultra-low-power chronoamperometric sensing platform for non-enzymatic glucose detection, based on the co-design of a reconfigurable digital-based (DB) potentiostat and a mesoporous platinum (Pt) microelectrode. The DB potentiostat enables current readout and direct digitization from a 0.3V supply at nanowatt-level power, while the microelectrode geometry and mesoporous Pt nanostructuring provide non-enzymatic glucose sensitivity at physiologically relevant concentrations within an electrochemical operating window compatible with the voltage and power constraints of the readout. A frequency-domain signal and noise model of the DB potentiostat is derived for the first time and validated through simulations and measurements, providing a quantitative basis for the electrochemical/readout co-design. Fabricated in 130nm CMOS, the DB potentiostat achieves 5.6 pArms input-referred noise, corresponding to a 16.8 pA circuit level minimum detectable current, while consuming 1.65nW at VDD=0.3V. Electrochemical currents from 600 pA to 650 nA are experimentally measured with R2=0.991 linearity under ferrocyanide test conditions. Non-enzymatic glucose measurements with mesoporous Pt microelectrodes at physiologically relevant concentrations, under aerobic conditions and with ascorbic acid as an interferent, demonstrate, to the best of the authors' knowledge, the lowest reported power consumption for CMOS non-enzymatic glucose readout, supporting the potential of the proposed platform for emerging point-of-care diagnostics applications.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148868836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Minimally Invasive Square-based Temporal Interference Stimulation IC for Neuromodulation with Enhanced E-field Delivery. 微创方形颞叶干扰刺激IC用于增强电场传递的神经调节。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-08-28 DOI: 10.1109/TBCAS.2026.3728824

Yemin Kim, Junhyuck Lee, Jaejun Kil, Dongrim Kim, Byunghun Lee

{"title":"Minimally Invasive Square-based Temporal Interference Stimulation IC for Neuromodulation with Enhanced E-field Delivery.","authors":"Yemin Kim, Junhyuck Lee, Jaejun Kil, Dongrim Kim, Byunghun Lee","doi":"10.1109/TBCAS.2026.3728824","DOIUrl":"10.1109/TBCAS.2026.3728824","url":null,"abstract":"Temporal interference stimulation (TIS) has emerged as a promising neuromodulation technique for achieving deep brain stimulation (DBS) with reduced invasiveness. However, conventional transcutaneous TIS suffers from the current shunting effect from the scalp, which limits the electric-field (E-field) delivery to the target region. In addition, conventional sine-based TIS systems rely on noise-sensitive and linearity constrained analog waveform synthesizers. To address these limitations, this work presents a minimally invasive square-based TIS integrated circuit (IC) that simultaneously achieves enhanced E-field delivery and fully digital stimulation waveform generation. The system generates temporal interference (TI) envelopes by digitally controlling an ON/OFF H-bridge driver, significantly simplifying circuit implementation with a gate-driving overhead of only 250 nW per channel. It also delivers higher root-mean square (RMS) energy than sine-based TIS under identical peak-current conditions. The stimulation IC is integrated within a 0.96 mm2 active area. Experimental tissue phantom measurements show that the proposed system achieves a 2.01 dB higher PSD at Δf and a time-domain envelope amplitude approximately 1.27 times that of sine-based TIS, demonstrating enhanced Δf envelope delivery. The proposed system supports long-term operation (1 s-1 h) and real-time parameter control through an inductive-link interface. It also achieves one of the lowest reported system complexities. These results demonstrate the feasibility of a programmable wireless TIS system for the proposed minimally invasive on-skull configuration.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148852221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A High-Precision Electrical Stimulator ASIC with Adaptive Charge Balancing for Long-Term Implantable Neuromodulation. 用于长期植入式神经调节的高精度自适应电荷平衡电刺激ASIC。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-08-06 DOI: 10.1109/TBCAS.2026.3721751

Zhang Qiu, Kangyu Su, Yueming Wang, Jian Xu

{"title":"A High-Precision Electrical Stimulator ASIC with Adaptive Charge Balancing for Long-Term Implantable Neuromodulation.","authors":"Zhang Qiu, Kangyu Su, Yueming Wang, Jian Xu","doi":"10.1109/TBCAS.2026.3721751","DOIUrl":"10.1109/TBCAS.2026.3721751","url":null,"abstract":"High-performance neuromodulators make essential contributions to the treatment of major neurological disorders and quality of life improvement. To enhance therapeutic efficacy and address safety challenges associated with long-term implanted neuromodulators, several high-performance techniques are proposed in this work. Firstly, a novel redundant current mapping (RCM) technology is developed to improve stimulation resolution at minimal area cost. Secondly, a new power-efficient self-adaptive pulse-width calibration (SAPCA) charge-balancing (CB) scheme ensures long-term stimulation safety. Thirdly, several compliance-extension techniques have been developed to achieve a voltage compliance of±11 V. The ASIC is fabricated in a 180-nm Bipolar-CMOS-DMOS (BCD) process with an area of 0.285 mm2/ch. Measurement results show that it achieves 14.5-bit resolution over a 6.5-mA current range and 12.8-bit resolution over a 10-mA current range. The residual voltage (Vres) is reduced from several V to ±5 mV consuming 1.74 μW. Besides, an in vivo experiment demonstrates that the ASIC can maintain CB under long-term stimulation, thereby preserving chronic neuromodulation safety.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148687227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AutoFIR: An Automated Framework for Resource-Efficient EEG FIR Filtering on FPGAs. AutoFIR：在fpga上实现资源高效的EEG FIR滤波的自动化框架。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-08-03 DOI: 10.1109/TBCAS.2026.3719430

Hui Liu, Hengxu Li, Hongli Wang, Lin Sun, Ziyang Ma, Lin Zhang, Hongdang Zheng, Chao Chen

{"title":"AutoFIR: An Automated Framework for Resource-Efficient EEG FIR Filtering on FPGAs.","authors":"Hui Liu, Hengxu Li, Hongli Wang, Lin Sun, Ziyang Ma, Lin Zhang, Hongdang Zheng, Chao Chen","doi":"10.1109/TBCAS.2026.3719430","DOIUrl":"10.1109/TBCAS.2026.3719430","url":null,"abstract":"Real-time electroencephalogram (EEG) processing on wearable platforms faces strict latency, power, and resource constraints, making efficient finite impulse response (FIR) filtering a critical challenge. Many representative field-programmable gate array (FPGA) solutions rely on manual design or vendor-supplied intellectual property (IP) cores, which can limit portability and signal-aware optimization across different signal specifications. This work presents AutoFIR, an automated co-design framework that translates high-level EEG filtering specifications into FPGA-based FIR implementations. AutoFIR integrates signal-aware quantization, shift-add approximation, and systematic architectural optimization to balance signal fidelity, arithmetic complexity, and hardware parallelization. Offline feedback from C-simulations and post-HLS synthesis estimates is used to screen and compare candidate designs within a staged design exploration flow under memory-access and scheduling constraints. On the evaluated Zynq-7020 platform, AutoFIR generates a DSP-slice-free implementation that achieves a 5.22× latency reduction over the unoptimized baseline while maintaining filtering fidelity under the current EEG dataset and filter specification. These results suggest that coordinated, signal-aware automation is promising for the evaluated resource-constrained EEG FIR filtering scenario.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148671550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Motion-Aware Low-Power Wearable Photoplethysmography System with Metamaterial-Enhanced Wireless Telemetry. 具有超材料增强无线遥测功能的运动感知低功耗可穿戴光电体积脉搏描记系统。

IF 4.9

IEEE transactions on biomedical circuits and systems Pub Date : 2026-08-03 DOI: 10.1109/TBCAS.2026.3719439

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

{"title":"Motion-Aware Low-Power Wearable Photoplethysmography System with Metamaterial-Enhanced Wireless Telemetry.","authors":"Luvsanbat Khurelbaatar, Jungang Zhang, Jiaoran Wang, Ali Mokhtarzade, Bhavani Yalagala, Pouya Khosravi, Chi-Wa U, Morteza Amjadi, Hadi Heidari","doi":"10.1109/TBCAS.2026.3719439","DOIUrl":"10.1109/TBCAS.2026.3719439","url":null,"abstract":"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.","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148671622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0