57 citations · 101 across the 18 of their papers we have counts for
19 papers
A Time-Domain Dual-Edge Asynchronous Pipelined SAR ADC Featuring Reset-Free Quantization at Multi-GS/s
Richard Zeng, Anthony Chan Carusone, Xilin Liu
Time-domain ADCs are attractive for high-speed wireline receivers, as time resolution scales favorably with advanced CMOS technologies, enabling multi-GS/s single-channel sampling…
OpenNIRScap: An Open-Source, Low-Cost Wearable Near-Infrared Spectroscopy-based Brain Interfacing Cap
Tony Kim, Haotian Liu, Chiung-Ting Huang +2
Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive, real-time method for monitoring brain activity by measuring hemodynamic responses in the cerebral cortex. However,…
Vision Transformer Accelerator ASIC for Real-Time Low-Power Sleep Staging
Tristan Robitaille, Xilin Liu
This paper presents SleepViT, a custom accelerator ASIC for real-time, low-power sleep stage classification in wearable devices. At the core of SleepViT is a lightweight vision tra…
Development of a Compact High-Voltage Functional Electrical Stimulation Device
Haiduo Wang, Ruizhe Tang, Xilin Liu
This report details the design and development of a compact high-voltage functional electrical stimulation (FES) device. Unlike conventional FES systems, the proposed design priori…
Multi-Modal Wireless Flexible Gel-Free Sensors with Edge Deep Learning for Detecting and Alerting Freezing of Gait in Parkinson's Patients
Yuhan Hou, Jack Ji, Yi Zhu +2
Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease (PD). This work develops flexible wearable sensors that can detect FoG and alert patients and companions to…
A 21.3%-Efficiency Clipped-Sinusoid UWB Impulse Radio Transmitter with Simultaneous Inductive Powering and Data Receiving
Nima Soltani, Hamed M. Jafari, Karim Abdelhalim +3
An ultra-wide-band impulse-radio (UWB-IR) transmitter (TX) for low-energy biomedical microsystems is presented. High power efficiency is achieved by modulating an LC tank that alwa…
Edge Deep Learning Enabled Freezing of Gait Detection in Parkinson's Patients
Ourong Lin, Tian Yu, Yuhan Hou +2
This paper presents the design of a wireless sensor network for detecting and alerting the freezing of gait (FoG) symptoms in patients with Parkinson's disease. Three sensor nodes,…
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device
Zongyan Yao, Xilin Liu
This paper proposes a deep learning (DL) model for automatic sleep stage classification based on single-channel EEG data. The DL model features a convolutional neural network (CNN)…
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning
Mingzhe Sun, Aaron Zhou, Naize Yang +3
Closed-loop sleep modulation is an emerging research paradigm to treat sleep disorders and enhance sleep benefits. However, two major barriers hinder the widespread application of…
Wireless Power Transfer Analysis using Ansys
Carl Zhang, Xilin Liu
In this report, methods of wireless power transfer of inside a cage is compared and simulated. Software Ansys Electronics Maxwell was used to simulate magnetic coupling of transmit…
ECE496Y Final Report: Edge Machine Learning for Detecting Freezing of Gait in Parkinson's Patients
Purnoor Ghuman, Tyama Lyall, Usama Mahboob +2
Parkinson's disease is a common neurological disease, entailing a multitude of motor deficiency symptoms. In this project, we developed a device with an uploaded edge machine learn…
Classify Respiratory Abnormality in Lung Sounds Using STFT and a Fine-Tuned ResNet18 Network
Zizhao Chen, Hongliang Wang, Chia-Hui Yeh +1
Recognizing patterns in lung sounds is crucial to detecting and monitoring respiratory diseases. Current techniques for analyzing respiratory sounds demand domain experts and are s…
On-CMOS High-Throughput Multi-Modal Amperometric DNA Analysis with Distributed Thermal Regulation
Hamed M. Jafari, Xilin Liu, Roman Genov
Accurate temperature regulation is critical for amperometric DNA analysis to achieve high fidelity, reliability, and throughput. In this work, a 9x6 cell array of mixed-signal CMOS…
A System-on-Chip for Closed-loop Optogenetic Sleep Modulation
Xilin Liu, Andrew G. Richardson
Stimulation of target neuronal populations using optogenetic techniques during specific sleep stages has begun to elucidate the mechanisms and effects of sleep. To conduct closed-l…
Study on Compressed Sensing of Action Potential
Hyunseok Park, Xilin Liu
Compressive sensing (CS) is a signal processing technique that enables sub-Nyquist sampling and near lossless reconstruction of a sparse signal. The technique is particularly appea…
Edge Deep Learning for Neural Implants
Xilin Liu, Andrew G. Richardson
Implanted devices providing real-time neural activity classification and control are increasingly used to treat neurological disorders, such as epilepsy and Parkinson's disease. Cl…
A Fully Integrated Sensor-Brain-Machine Interface System for Restoring Somatosensation
Xilin Liu, Hongjie Zhu, Tian Qiu +8
Sensory feedback is critical to the performance of neural prostheses that restore movement control after neurological injury. Recent advances in direct neural control of paralyzed…
An Energy-efficient Wireless Neural Recording System with Compressed Sensing and Encryption
Xilin Liu, Andrew G. Richardson, Jan Van der Spiegel
This paper presents a wireless neural recording system featuring energy-efficient data compression and encryption. An ultra-high efficiency is achieved by leveraging compressed sen…
Piezoelectric SPDT NEMS Switch for Complementary Logic
Xilin Liu, Haodi Ouyang, Yidong Wang
Off-state current leakage and switching delay has become the main challenge for continued complementary metal-oxide-semiconductor (CMOS) technology scaling. Previous work proposes…