Hubin Zhao
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View article: Reconfigurable hardware-accelerated, multi-channel, adaptive temperature control platform of VCSELs for high-density fNIRS/DOT
Reconfigurable hardware-accelerated, multi-channel, adaptive temperature control platform of VCSELs for high-density fNIRS/DOT Open
Functional near-infrared spectroscopy (fNIRS) and its advanced offshoot - diffuse optical tomography (DOT) are promising non-invasive neuroimaging techniques. The advancement of next-generation high-density fNIRS/DOT systems, particularly …
View article: AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring
AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring Open
Joint health is critical for musculoskeletal (MSK) conditions that are affecting approximately one-third of the global population. Monitoring of joint torque can offer an important pathway for the evaluation of joint health and guided inte…
View article: Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions
Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions Open
Endovascular procedures have revolutionized vascular disease treatment, yet their manual execution is challenged by the demands for high precision, operator fatigue, and radiation exposure. Robotic systems have emerged as transformative so…
View article: Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review
Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review Open
Continuous wave-diffuse optical tomography (CW-DOT) has emerged as a promising non-invasive neuroimaging technique for assessing brain function. Its ability to provide brain mapping with high spatial resolution over traditional functional …
View article: A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence
A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence Open
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Additionally, the absence of comprehensive solutions addressing diverse rehabilit…
View article: A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback
A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback Open
Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) approaches, which both rely on real-time monitoring of brain activity, are increasingly being applied in rehabilitation, assistive technology, neurological diseases and behavioral dis…
View article: A Novel Optimization Framework for fNIRS: Enhancing Brain Image Reconstruction for Neurorehabilitation
A Novel Optimization Framework for fNIRS: Enhancing Brain Image Reconstruction for Neurorehabilitation Open
Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technique that provides valuable insights into brain activity by measuring haemodynamic changes in blood oxygenation. Despite its potential, the accuracy of fNIRS…
View article: Simultaneous Mental Fatigue and Mental Workload Assessment With Wearable High-Density Diffuse Optical Tomography
Simultaneous Mental Fatigue and Mental Workload Assessment With Wearable High-Density Diffuse Optical Tomography Open
Accurately assessing mental states-such as mental workload and fatigue- is crucial for ensuring the reliability and effectiveness of brain-computer interface (BCI)-based applications. Relying on signals from a limited brain region with low…
View article: An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment
An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment Open
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of integrated solutions capable of simultaneously monitoring m…
View article: Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data Open
Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that detrimentally impact familial well-being and create substantia…
View article: Wearable Near-Eye Tracking Technologies for Health: A Review
Wearable Near-Eye Tracking Technologies for Health: A Review Open
With the rapid advancement of computer vision, machine learning, and consumer electronics, eye tracking has emerged as a topic of increasing interest in recent years. It plays a key role across diverse domains including human–computer inte…
View article: Memristor-based adaptive neuromorphic perception in unstructured environments
Memristor-based adaptive neuromorphic perception in unstructured environments Open
Efficient operation of control systems in robotics or autonomous driving targeting real-world navigation scenarios requires perception methods that allow them to understand and adapt to unstructured environments with good accuracy, adaptat…
View article: A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS
A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS Open
Functional Near-Infrared Spectroscopy (fNIRS) is a neuroimaging method which can be implemented with a wearable form factor. However, the data of fNIRS can be
\naffected by motion artifact, which is conventionally processed
\noffline using…
View article: Memristor-based adaptive neuromorphic perception in unstructured environments.
Memristor-based adaptive neuromorphic perception in unstructured environments. Open
View article: An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection
An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection Open
Due to iterative matrix multiplications or gradient computations, machine learning modules often require a large amount of processing power and memory. As a result, they are often not feasible for use in wearable devices, which have limite…
View article: Intelligent machines work in unstructured environments by differential neuromorphic computing
Intelligent machines work in unstructured environments by differential neuromorphic computing Open
Efficient operation of intelligent machines in the real world requires methods that allow them to understand and predict the uncertainties presented by the unstructured environments with good accuracy, scalability and generalization, simil…
View article: fNIRS-EEG BCIs for Motor Rehabilitation: A Review
fNIRS-EEG BCIs for Motor Rehabilitation: A Review Open
Motor impairment has a profound impact on a significant number of individuals, leading to a substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs), people with severe motor disabilities could have improved…
View article: Editorial: Advances in brain-computer interface technologies for closed-loop neuromodulation
Editorial: Advances in brain-computer interface technologies for closed-loop neuromodulation Open
EDITORIAL article Front. Neurosci., 10 November 2023Sec. Neural Technology Volume 17 - 2023 | https://doi.org/10.3389/fnins.2023.1327533
View article: Learning based motion artifacts processing in fNIRS: a mini review
Learning based motion artifacts processing in fNIRS: a mini review Open
This paper provides a concise review of learning-based motion artifacts (MA) processing methods in functional near-infrared spectroscopy (fNIRS), highlighting the challenges of maintaining optimal contact during subject movement, which can…
View article: Low-cost, smartphone-based instant three-dimensional registration system for infant functional near-infrared spectroscopy applications
Low-cost, smartphone-based instant three-dimensional registration system for infant functional near-infrared spectroscopy applications Open
This low-cost 3D registration system therefore has the potential to permit accurate and near-instant fNIRS/DOT spatial registration.
View article: Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited]
Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited] Open
Over the past several decades, near-infrared spectroscopy (NIRS) has become a popular research and clinical tool for non-invasively measuring the oxygenation of biological tissues, with particular emphasis on applications to the human brai…
View article: Editorial: Wearable and Implantable Electronics for the next Generation of Human-Machine Interactive Devices
Editorial: Wearable and Implantable Electronics for the next Generation of Human-Machine Interactive Devices Open
EDITORIAL article Front.Electron., 15 June 2022Sec. Wearable Electronics https://doi.org/10.3389/felec.2022.935289
View article: Wearable, Integrated EEG–fNIRS Technologies: A Review
Wearable, Integrated EEG–fNIRS Technologies: A Review Open
There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture of br…
View article: Evaluating a new generation of wearable high-density diffuse optical tomography technology via retinotopic mapping of the adult visual cortex
Evaluating a new generation of wearable high-density diffuse optical tomography technology via retinotopic mapping of the adult visual cortex Open
Significance: High-density diffuse optical tomography (HD-DOT) has been shown to approach the resolution and localization accuracy of blood oxygen level dependent-functional magnetic resonance imaging in the adult brain by exploitin…
View article: Design and validation of a mechanically flexible and ultra-lightweight high-density diffuse optical tomography system for functional neuroimaging of newborns
Design and validation of a mechanically flexible and ultra-lightweight high-density diffuse optical tomography system for functional neuroimaging of newborns Open
Significance: Neonates are a highly vulnerable population. The risk of brain injury is greater during the first days and weeks after birth than at any other time of life. Functional neuroimaging that can be performed longitudinally …
View article: A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging
A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging Open
The ability to produce high-quality images of human brain function in any environment and during unconstrained movement of the subject has long been a goal of neuroimaging research. Diffuse optical tomography, which uses the intensity of b…
View article: Integrating motion sensing and wearable, modular high-density diffuse optical tomography: preliminary results
Integrating motion sensing and wearable, modular high-density diffuse optical tomography: preliminary results Open
The next generation of diffuse optical imaging systems will consist of wearable and fiber-less devices, to exploit the advantages of diffuse optical imaging over other functional neuroimaging techniques and meet the needs of users to acqui…
View article: Advances in wearable high-density diffuse optical tomography: first applications of a new commercial technology and development of an infant-specific research device
Advances in wearable high-density diffuse optical tomography: first applications of a new commercial technology and development of an infant-specific research device Open
We discuss advances in and applications of fibre-less, wearable, high-density diffuse optical tomography technologies, including a new device specifically for the newborn infant that employs flex-rigid PCB technology and provides channel d…
View article: On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation
On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation Open
Neuromodulation technologies are progressing from pacemaking and sensory operations to full closed-loop control. In particular, optogenetics-the genetic modification of light sensitivity into neural tissue allows for simultaneous optical s…
View article: A Scalable Optoelectronic Neural Probe Architecture With Self-Diagnostic Capability
A Scalable Optoelectronic Neural Probe Architecture With Self-Diagnostic Capability Open
There is a growing demand for the development of new types of implantable optoelectronics to support both basic neuroscience and optogenetic treatments for neurological disorders. Target specification requirements include multi-site optica…