57 citations · 101 across the 18 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
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…
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…