FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms. - Yunyi Zhao; Yunjia Xia; Rui C. V. Loureiro; Hubin Zhao; Uwe Dolinsky; Shufan Yang (FPL, 2023)

Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset. - Yunyi Zhao; Yunjia Xia; Rui C. V. Loureiro; Hubin Zhao; Uwe Dolinsky; Shufan Yang (IWOCL, 2023)

Mental Fatigue Classification with High-Density Diffuse Optical Tomography: A Feasibility Study. - Jianan Chen; Yunjia Xia; Alexander Thomas; Tom Carlson; Hubin Zhao (EMBC, 2024)

A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS. - Renas Ercan; Yunjia Xia; Yunyi Zhao; Rui C. V. Loureiro; Shufan Yang; Hubin Zhao (ISCAS, 2024)

An FPGA-based, multi-channel, real-time, motion artifact detection technique for fNIRS/DOT systems. - Yunjia Xia; Elisabetta Maria Frijia; Rui C. V. Loureiro; Robert J. Cooper; Hubin Zhao (ISCAS, 2024)

A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence. - Chenyu Tang; Ruizhi Zhang; Shuo Gao 001; Zihe Zhao; Zibo Zhang; Jiaqi Wang 016; Cong Li; Junliang Chen; Yanning Dai; Shengbo Wang; Ruoyu Juan; Qiaoying Li; et al. (CoRR, 2024)

An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection. - Renas Ercan; Yunjia Xia; Yunyi Zhao; Rui C. V. Loureiro; Shufan Yang; Hubin Zhao (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Real-Time Motion Artifact Removal in fNIRS with Denoising Autoencoder at the Edge. - Jinchen Li; Yunjia Xia; Jingyu Lei; Robert J. Cooper; Hubin Zhao (ISCAS, 2025)