Ultrasound Scanner ASIC with 1-D CNN-Based Echo Pattern Recognition for Arterial Distension Monitoring [0.03%]
基于一维CNN的超声扫描器ASIC用于动脉顺应性检测中的回波信号识别技术
Doo-Hyeon Ko,Min-Hyeong Son,Dae-Il Kim et al.
Doo-Hyeon Ko et al.
This paper presents an A-mode ultrasound scanner application-specific integrated circuit (ASIC) for arterial distension monitoring. The ASIC operates with a single-element ultrasound probe, identifying a target artery through echo pattern r...
A 192-Channel 1D CNN-Based Neural Feature Extractor in 65nm CMOS for Brain-Machine Interfaces [0.03%]
一种用于脑机接口的基于一维CNN的神经特征提取器架构及其65nm CMOS实现方法
Steven Bulfer,Jorge Gamez,Albert Yan-Huang et al.
Steven Bulfer et al.
We present a 192-channel 1D convolutional neural network (1D CNN) based neural feature extractor for Brain-Machine Interfaces (BMI) that achieves state-of-the-art decoding stability at 1.8 $μ$W and 12801 $μ$m2 per channel in 65nm CMOS tec...
An Energy-Efficient ECG Classifier with On-Chip Learning Using Binarized Convolutional Neural Network [0.03%]
基于二值卷积神经网络的在芯片学习能量高效心电图分类器
Rui Zhang,Ranran Zhou,Xinyi Han et al.
Rui Zhang et al.
In ECG classification applications, binarized convolutional neural networks (bCNNs) show great potential to achieve extremely low power consumption through 1-bit quantization. Existing bCNN approaches typically extract spatial features from...
Wearable stimulator for upper and lower limb somatotopic sensory feedback restoration [0.03%]
穿戴式刺激器恢复上下肢体域感觉反馈
Roberto Paolini,Riccardo Collu,Laura Tullio et al.
Roberto Paolini et al.
Neuroprostheses capable of providing Somatotopic Sensory Feedback (SSF) enables the restoration of tactile sensations in amputees, thereby enhancing prosthesis embodiment, object manipulation, balance and walking stability. Transcutaneous E...
A Sparse-Integrated Filtering Residual Spiking Neural Network for High-Accuracy Spike Sorting and Co-optimization on Memristor Platforms [0.03%]
基于忆阻器平台的高精度脉冲分类稀疏集成过滤残差脉冲神经网络及协同优化
Yiwen Zhu,Jingyi Chen,Lingli Cheng et al.
Yiwen Zhu et al.
Brain-computer interfaces rely on precise decoding of neural signals, where spike sorting is a critical step to extract individual neuronal activities from complex neural data. This works presents a spiking neural network (SNN) framework fo...
Fully Wireless ASIC with MagSonic Operation Using Magnetoelectric Transducer for Neural Stimulation and Recording [0.03%]
用于神经刺激和记录的磁声操作完整无线ASIC
Sujay Hosur,Hyunjin Lee,Tao Zhou et al.
Sujay Hosur et al.
A wireless application-specific integrated circuit (ASIC), operating with the MagSonic modality using one magnetoelectric (ME) transducer, is presented for neural stimulation and recording. The ASIC integrates a bridge circuit that forms bo...
MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation [0.03%]
基于磁共振图像调制的无线植入体数据传输与定位(MRDust)
Biqi Rebekah Zhao,Alexander Chou,Robert Peltekov et al.
Biqi Rebekah Zhao et al.
Magnetic resonance imaging (MRI) exhibits rich and clinically useful endogenous contrast mechanisms, which can differentiate soft tissues and are sensitive to flow, diffusion, magnetic susceptibility, blood oxygenation level, and more. Howe...
Erratum to "A 43.5dB Gain Unipolar a-IGZO TFT Amplifier with Parallel Bootstrap Capacitor for Bio-signals Sensing Applications" [0.03%]
“用于生物信号传感的增益为43.5dB的非极性a-IGZO薄膜晶体管放大器”一文勘误
Mingjian Zhao,Laiqing Li,Rui Liu et al.
Mingjian Zhao et al.
In [1], a critical labeling error was identified in Fig. 21, where the x-axis was incorrectly labeled "-50 ms to 50 ms" instead of the correct range "0 s to 5 s" (reflecting the actual ECG data duration). This discrepancy resulted from unin...
FPGA-based Medical Image Processing Using Hardware-Software Co-design Approach [0.03%]
基于硬件软件协同设计的可编程逻辑器件医学图像处理研究
Abhishek Yadav,Vyom Kumar Gupta,Binod Kumar
Abhishek Yadav
This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and Pneumonia detection. The design is implemented on the ...
A 40.68-MHz Fully-Integrated Voltage/Current-Mode Dual-Output PMU for Wireless Neural Implants [0.03%]
用于无线神经植入体的40.68MHz全集成电压/电流模式双输出电源管理单元
Yi-Han Ou-Yang,Ronald Wijermars,Pyungwoo Yeon et al.
Yi-Han Ou-Yang et al.
This paper presents a fully-integrated single-input dual-output power management unit operating both in voltage/ current modes for powering mm-scale wireless neural implants. The chip operates in voltage mode most of the time, using an acti...