Latest Publications
Low-cost, smartphone-based instant three-dimensional registration system for infant functional near-infrared spectroscopy applications
We presented a smartphone-based registration system for functional near-infrared spectroscopy (fNIRS)/diffuse optical tomography (DOT), aimed at instantly scanning a 6-month-old infant's head. This remotely controlled system achieved a 2-second full-head 3D scan, with an average optode positioning error of 1.8 mm on a static infant head model, suggesting its potential for accurate and near-instant fNIRS/DOT spatial registration.
Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited]
In this review, we summarized the advancements in near-infrared spectroscopy (NIRS), focusing on the shift from continuous-wave to frequency-domain NIRS (FD-NIRS). We highlighted the superior measurement capabilities of FD-NIRS, its technological progress, clinical applications, and concluded with the future potential of wearable, low-cost FD-NIRS systems.
An ultralow-power, real-time machine learning based fNIRS
motion artefacts detection
We introduce an ultralow-power, real-time machine learning module for motion artifact detection in fNIRS systems, achieving 97.42% accuracy with low FPGA resource and power usage. Outperforming conventional CPU SVM methods, this study demonstrates the feasibility of high-accuracy, low-power FPGA-based classifiers for wearable devices with limited resources.
Learning based motion artifacts processing
in fNIRS: a mini review
In this paper, we reviewed learning-based motion artifact (MA) processing methods in functional near-infrared spectroscopy (fNIRS), addressing challenges in data integrity and reliability. We discussed the current landscape and research gaps in MA correction, proposing a novel evaluation framework to enhance the accuracy and reliability of neurovascular studies.
Selected Publications
Publications List
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R. Ercan et al., “An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, pp. 1–11, Jan. 2024.
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J. Chen et al., “fNIRS-EEG BCIs for Motor Rehabilitation: A Review,” Bioengineering, vol. 10, no. 12, pp. 1393–1393, Dec. 2023.
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Y. Xu, H. Zhao, and Cosimo Ieracitano, “Editorial: Advances in brain-computer interface technologies for closed-loop neuromodulation,” Frontiers in Neuroscience, vol. 17, Nov. 2023.
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Y. Zhao et al., “FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms,” 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL), Sep. 2023.
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Y. Xia et al., “Low-cost, smartphone-based instant three-dimensional registration system for infant functional near-infrared spectroscopy applications,” Neurophotonics, vol. 10, no. 04, Oct. 2023.
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X. Zhou et al., “Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited],” Biomedical Optics Express, vol. 14, no. 7, pp. 3234–3234, Jun. 2023.
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Y. Xia et al., “A remote-control, smartphone-based automatic 3D scanning system for fNIRS/DOT applications,” Optica Biophotonics Congress: Optics in the Life Sciences 2023, Jan. 2023.
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Y. Zhao et al., “Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset,” ACM International Conference Proceeding Series, 2023.
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Y. Zhao et al., “Learning based motion artifacts processing in fNIRS: a mini review,” Frontiers in Neuroscience, vol. 17, Nov. 2023.
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Y. Wu et al., “Editorial: Wearable and Implantable Electronics for the next Generation of Human-Machine Interactive Devices,” Frontiers in electronics, vol. 3, Jun. 2022.
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H. Zhao et al., "ANIMATE: wearable, flexible, and ultra-lightweight high-density diffuse optical tomography technologies for functional neuroimaging of newborns", European Conferences on Biomedical Optics(ECBO), Proc. SPIE 11920, Diffuse Optical Spectroscopy and Imaging VIII, 119201A, 2021.
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E. E. Vidal-Rosas et al., “Evaluating a new generation of wearable high-density diffuse optical tomography technology via retinotopic mapping of the adult visual cortex,” Neurophotonics, vol. 8, no. 02, Apr. 2021.
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Elisabetta Maria Frijia et al., “Towards cot-side mapping of the sensorimotor cortex in preterm and term infants with wearable high-density diffuse optical tomography,” European Conferences on Biomedical Optics 2021 (ECBO), Dec. 2021.
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H. Zhao et al., “Design and validation of a mechanically flexible and ultra-lightweight high-density diffuse optical tomography system for functional neuroimaging of newborns,” Neurophotonics, vol. 8, no. 01, Mar. 2021.
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J. Uchitel et al., “Wearable, Integrated EEG–fNIRS Technologies: A Review,” Sensors, vol. 21, no. 18, pp. 6106–6106, Sep. 2021.
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E. E. Vidal-Rosas et al., “Evaluating a new generation of wearable high-density diffuse optical tomography technology via retinotopic mapping of the adult visual cortex,” Neurophotonics, vol. 8, no. 02, Apr. 2021.
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E. E. Vidal-Rosas et al., “Wearable high-density diffuse optical tomography (HDDOT) for unrestricted 3D functional neuroimaging,” Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, Mar. 2021.
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H. Zhao et al., “A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging,” Biomedical Optics Express, vol. 11, no. 8, pp. 4110–4110, Jul. 2020.
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H. Zhao (2022). Optogenetic Implants. In: Sawan, M. (eds) Handbook of Biochips. Springer, New York, NY.H.
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H. Zhao et al., “Advances in wearable high-density diffuse optical tomography: first applications of a new commercial technology and development of an infant-specific research,” Diffuse Optical Spectroscopy and Imaging VII, Jul. 2019.
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S. Brigadoi et al., “Integrating motion sensing and wearable, modular high-density diffuse optical tomography: Preliminary results,” Diffuse Optical Spectroscopy and Imaging VII, Jul. 2019.
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H. Zhao et al., “A Scalable Optoelectronic Neural Probe Architecture with Self-Diagnostic Capability,” IEEE Transactions on Circuits and Systems I-regular Papers, vol. 65, no. 8, pp. 2431–2442, Aug. 2018.
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R. Ramezani et al., “On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation,” IEEE Transactions on Biomedical Circuits and Systems, vol. 12, no. 3, pp. 576–588, Jun. 2018.
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H. Zhao and R. J. Cooper, “Review of recent progress toward a fiberless, whole-scalp diffuse optical tomography system,” Neurophotonics, vol. 5, no. 01, pp. 1–1, Sep. 2017.
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H. Zhao, “Recent Progress of Development of Optogenetic Implantable Neural Probes,” International Journal of Molecular Sciences, vol. 18, no. 8, pp. 1751–1751, Aug. 2017.
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R. Cooper et al., “The μNTS: a wearable, modular, high-density diffuse optical tomography,” European Conference on Biomedical Optics 2017(ECBO), 2017.
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H. Zhao et al., “A CMOS-based neural implantable optrode for optogenetic stimulation and electrical recording,” 2015 IEEE Biomedical Circuits and Systems (BIOCAS), Oct. 2015.
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F. Dehkhoda et al., “Smart optrode for neural stimulation and sensing,” Spiral (Imperial College London), 2015 IEEE SENSORS, Nov. 2015.
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H. Zhao, D. Sokolov, and P. Degenaar, “An implantable optrode with Self-diagnostic function in 0.35µm CMOS for optical neural stimulation,” 2014 IEEE Biomedical Circuits and Systems (BIOCAS), Oct. 2014.
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A. Soltan et al., “An 8100 pixel optoelectronic array for optogenetic retinal prosthesis,” 2014 IEEE Biomedical Circuits and Systems (BIOCAS), Oct. 2014.