Memristive Reservoir Computing Circuit for Real-Time Prediction of Epilepsy [0.03%]
用于实时预测癫痫的忆阻器 reservoir computing电路
Lun Lu,Ao Xu,Youpeng Wu et al.
Lun Lu et al.
The prediction of epileptic seizures can significantly improve patients' quality of life by enabling timely preventive interventions. However, realizing automated real-time prediction on edge hardware remains challenging due to high computa...
A 168 dB FoM ISFET-Integrated CT Delta Sigma Frontend With Gm-Boosted Linearity and Hybrid Noise Shaping Achieving 6.8 m-pH Resolution [0.03%]
一种线性度增强及混合噪声整形技术实现的集成ISFET前端，比值精度为168 dB，分辨率可达6.8毫氢离子活度单位(m-pH)
Chen Wang,Wenshuo Li,Yuanqi Hu
Chen Wang
This paper presents a low-power, ISFET-integrated frontend architecture that directly merges the sensing element with a Gm-C based continuous-time delta sigma modulator (CT-ΔΣM). In the proposed design, the ISFET simultaneously functions ...
A 1.69µJ Highly Robust Cardiac Arrhythmia Monitoring Processor with Triple-Adaptive QRS Detector and Medically Driven Feature-Fusion Hybrid Neural Networks [0.03%]
一种高度鲁棒的心律失常监测处理器：具有三重自适应QRS检测器和医学驱动特征融合混合神经网络
Weihao Wang,Xuecong Lu,Guangshun Wei et al.
Weihao Wang et al.
The detection of arrhythmias is crucial in monitoring cardiac health. However, electrocardiogram (ECG) signals obtained from wearable devices are often compromised by noise, including electrode motion artifacts, baseline wander, and muscle ...
In Vivo Wireless Powering of a Long-Acting Nanofluidic Drug Delivery Implant [0.03%]
无线输电驱动长期植入式纳米流体药物输送装置体内给药研究
Fabiana Del Bono,Nicola Di Trani,Ashley Joubert et al.
Fabiana Del Bono et al.
Wireless power transfer (WPT) is a key enabler for long-term operation of implantable medical devices, eliminating the need for percutaneous drivelines and frequent surgical device replacements. This paper presents the design and validation...
A 1024-Channel Hybrid Voltage/Current-Clamp Neural Interface System-on-Chip with Dynamic Incremental SAR Acquisition [0.03%]
一种混合电压/电流钳位神经接口系统芯片及其动态增量SAR采集方法（英文）
Jun Wang,Omowuyi Olajide,Akshay Paul et al.
Jun Wang et al.
The demand for high-throughput, multi-modal recording and stimulation in neuroscience research has driven the development of neural interfaces that optimize area and energy efficiency without compromising noise performance. Simultaneously, ...
A Neuromodulation System with Real-Time Neural Signals Recovery Overlapped Temporally and Spectrally with Stimulation Artifacts [0.03%]
一种基于实时神经信号恢复的时频域内卷刺激伪迹的神经调控系统
Geunchang Seong,Jaeouk Cho,Heeyoung Jung et al.
Geunchang Seong et al.
Continuous neural signal acquisition during electrical stimulation is essential for neuromodulation; nevertheless, it is often hindered by high-amplitude stimulation artifacts (SAs). This study presents a neuromodulation system with an appl...
DERMIS: End-to-End Design of a Fully Integrated Large-Area Grasp-State-Adaptive Tactile Sensor System on a-IGZO TFT [0.03%]
基于a-IGZO TFT的大面积自适应抓握状态的全集成触觉传感器系统端到端设计(DERMIS)
Mark Daniel Alea,Maria Atalaia Rosa,Michael Kraft et al.
Mark Daniel Alea et al.
This paper presents the design of a high-resolution fully-integrated tactile sensor system, called DERMIS, implemented in a flexible thin-film transistor (TFT) technology for large-area electronic skins. It discusses how an end-to-end desig...
A 43 $μ$m × 269 $μ$m Light-Adaptive Optoelectronic Autonomous Microsystem for Neural Recording [0.03%]
一种用于神经记录的43μm×269μm光适应型光电自主微系统
Rui Jiao,Yumin Zheng,Azmaeen M Nibras et al.
Rui Jiao et al.
We present a 43 $μ$m × 269 μm tetherless neural recording microsystem in which the CMOS bulk is forward biased to utilize silicon junctions as a photovoltaic source. Our microsystem, forward-bulk microscale optoelectronic tetherless elec...
Millimeter-sized 0.1pM-LoD Wireless 16-Channel Organic Electrochemical Transistors Based Electrochemical Sensing SoC [0.03%]
毫米级亚飞摩尔无线16通道有机电化学晶体管电化学生物传感芯片系统（SoC）
Yuan Ma,Shangbin Liu,Lingfeng Wu et al.
Yuan Ma et al.
This paper proposes a millimeter-sized, high-sensitivity, wide dynamic-range 16-channel electrochemical sensing SoC with integrated thin-film organic electrochemical transistor (OECT), utilizing ultrasonic wireless power and backscatter wir...
BioGAP-Ultra: A Modular Edge-AI Platform for Wearable Multimodal Biosignal Acquisition and Processing [0.03%]
BioGAP-Ultra：一种模块化边缘AI平台，用于可穿戴多模态生物信号采集和处理
Sebastian Frey,Giusy Spacone,Andrea Cossettini et al.
Sebastian Frey et al.
The growing demand for continuous physiological monitoring and human-machine interaction in realworld settings calls for wearable platforms that are flexible, low-power, and capable of on-device intelligence. This work presents BioGAP-Ultra...