11 citations · 15 across the 8 of their papers we have counts for
11 papers
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…
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…
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…