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Xiaolong Zhai
City University of Hong Kong
5Publications
2H-index
36Citations
Publications 5
Newest
Jul 1, 2018 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Zhanhong Zhou (CityU: City University of Hong Kong)
#2Xiaolong Zhai (CityU: City University of Hong Kong)H-Index: 2
Last.Chung Tin (CityU: City University of Hong Kong)H-Index: 11
view all 3 authors...
Cerebellum possesses very rich motor control and learning capability which is critical for animals. In this study, we proposed a spiking neural network model of cerebellum for gain and phase adaptation in vestibulo-ocular reflex (VOR). VOR is a critical adaptive reflexive eye movement for maintaining a stable visual field. In this model (with neuron number at the order of 104), synaptic plasticity at parallel fiber-Purkinje cell synapses was considered. In particular, we have shown that the inhi...
#1Xiaolong Zhai (CityU: City University of Hong Kong)H-Index: 2
#2Chung Tin (CityU: City University of Hong Kong)H-Index: 11
A high performance electrocardiogram (ECG)-based arrhythmic beats classification system is presented in this paper. The classifier was designed based on convolutional neural network (CNN). Single channel ECG signal was segmented into heartbeats in accordance with the changing heartbeat rate. The beats were transformed into dual beat coupling matrix as 2-D inputs to the CNN classifier, which captured both beat morphology and beat-to-beat correlation in ECG. A systematic training beat selection pr...
#1Tao Xu (CityU: City University of Hong Kong)
#2Na Xiao (CityU: City University of Hong Kong)
Last.Chung Tin (CityU: City University of Hong Kong)H-Index: 11
view all 5 authors...
Objective. Damage to the brain, as a result of various medical conditions, impacts the everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit have recently emerged as a possible solution to these problems. Here we describe the development of a real-time cerebellar neuroprosthetic system to substitute neural function in cerebellar circuitry for learning delay eyeblink conditioning (DEC). App...
#1Xiaolong Zhai (CityU: City University of Hong Kong)H-Index: 2
#2Beth Jelfs (CityU: City University of Hong Kong)H-Index: 9
Last.Chung Tin (CityU: City University of Hong Kong)H-Index: 11
view all 4 authors...
Hand movement classification based on surface electromyography (sEMG) pattern recognition is a promising approach for upper limb neuroprosthetic control. However, maintaining day-to-day performance is challenged by the non-stationary nature of sEMG in real-life operation. In this study, we propose a self-recalibrating classifier that can be automatically updated to maintain a stable performance over time without the need for user retraining. Our classifier is based on convolutional neural networ...
Aug 1, 2016 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Xiaolong Zhai (CityU: City University of Hong Kong)H-Index: 2
#2Beth Jelfs (CityU: City University of Hong Kong)H-Index: 9
Last.Chung Tin (CityU: City University of Hong Kong)H-Index: 11
view all 4 authors...
Hand gesture recognition from forearm surface electromyography (sEMG) is an active research field in the development of motor prosthesis. Studies have shown that classification accuracy and efficiency is highly dependent on the features extracted from the EMG. In this paper, we show that EMG spectrograms are a particularly effective feature for discriminating multiple classes of hand gesture when subjected to principal component analysis for dimensionality reduction. We tested our method on the ...
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