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