Browsing by Author "Chiou, J. -C."

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A new apparatus of infrared videopupillography for monitoring pupil size
(2013-01-01)
Ko, M. -L.
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Huang, T. -W.
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Chen, Y. -Y.
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Sone, B. -S.
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Huang, Y. -C.
Glaucoma was diagnosed or tracked by the intraocular pressure (IOP) generally because it is one of the physiology parameters that are associated with glaucoma. But measurement of IOP is not easy and consistence under different measure conditions. An infrared videopupillography is apparatus to monitor the pupil size in an attempt to bypass the direct IOP measurement. This paper propose an infrared videopupillography to monitoring the pupil size of different light stimulus in dark room. The portable infrared videopupillography contains a camera, a beam splitter, the visible-light LEDs for stimulating the eyes, and the infrared LEDs for lighting the eyes. It is lighter and smaller than the present product. It can modulate for different locations of different eyes, and can be mounted on any eyeglass frame. An analysis program of pupil size can evaluate the pupil diameter by image correlation. In our experiments, the eye diameter curves were not smooth and jagged. It caused by the light spots, lone eyelashes, and blink. In the future, we will improve the analysis program of pupil size and seek the approach to solve the LED light spots. And we hope this infrared videopupillography proposed in this paper can be a measuring platform to explore the relations between the different diseases and pupil response.
A Self Produced Mother Wavelet Feature Extraction Method for Motor Imagery Brain-Computer Interface
(2013)
Yeh, W. -L.
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Huang, Y. -C.
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Chiou, J. -H.
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Duann, J. -R.
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Chiou, J. -C.
Motor imagery base brain-computer interface (BCI) is an appropriate solution for stroke patient to rehabilitate and communicate with external world. For such applications speculating whether the subjects are doing motor imagery is our primary mission. So the problem turns into how to precisely classify the two tasks, motor imagery and idle state, by using the subjects\' electroencephalographic (EEG) signals. Feature extraction is a factor that significantly affects the classification result. Based on the concept of Continuous Wavelet Transform, we proposed a wavelet-liked feature extraction method for motor imagery discrimination. And to compensate the problem that the feature varies between subjects, we use the subjects\' own EEG signals as the mother wavelet. After determining the feature vector, we choose Bayes linear discriminant analysis (LDA) as our classifier. The BCI competition III dataset IVa is used to evaluate the classification performance. Comparing with variance and fast Fourier transform (FFT) methods in feature extraction, 2.02% and 16.96% improvement in classification accuracy are obtained in this work respectively.
An improved apparatus of infrared videopupillography for monitoring pupil size
(2014-01-01)
Huang, T. -W.
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Ko, M. -L.
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Ouyang, Y.
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Chen, Y. -Y.
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Sone, B. -S.
The intraocular pressure (IOP) can diagnose or track glaucoma generally because it is one of the physiology parameters that are associated with glaucoma. But IOP is not easy and consistent when measured under different measure conditions. Besides, diabetes is associated with diabetic autonomic neuropathy (DAN). Pupil size response might provide an indirect means about neuronal pathways, so the abnormal pupil size may relate with DAN. Hence an infrared videopupillography is needed for tracking glaucoma and exploring the relation between pupil size and DAN. Our previous research proposed infrared videopupillography to monitor the pupil size of different light stimulus in dark room. And this portable infrared videopupillography contains a camera, a beam splitter, the visible-light LEDs for stimulating the eyes, and the infrared LEDs for lighting the eyes. It can be mounted on any eyeglass frame. But it can modulate only two dimensions, and we cannot zoom in/out the eyes. Moreover, the eye diameter curves were not smooth but jagged because of the light spots, lone eyelashes, and blink. Therefore, we redesign the optical path of our device to have three dimension modulation. Then we can zoom in the eye to increase the eye resolution and to avoid the LED light spots. The light spot could be solved by defining the distance between IR LED and CCD. This device has smaller volume and less cost then our previous videopupillography. We hope this new infrared videopupillography proposed in this paper can achieve early detection of autonomic neuropathy in the future.
Wireless and batteryless biomedical microsystem for neural recording and epilepsy suppression based on brain focal cooling
(2011-12-01)
Hou, K. -C.
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Chang, C. -W.
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Chiou, J. -C.
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Huang, Y. -H.
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Shaw, F. -Z.
This work presents a biomedical microsystem with a wireless radiofrequency (RF)-powered electronics and versatile sensors/actuators for use in nanomedicinal diagnosis and therapy. The cooling of brain tissue has the potential to reduce the frequency and severity of epilepsy. Miniaturised spiral coils as a wireless power module with low-dropout linear regulator circuit convert RF signals into a DC voltage, can be implanted without a battery in monitoring free behaviour. A thermoelectric (TE) cooler is an actuator that is employed to cool down brain tissue to suppress epilepsy. Electroencephalogram (EEG) electrodes and TE coolers are integrated to form module that is placed inside the head of a rat and fastened with a biocompatible material. EEG signals are used to identify waveforms associated with epilepsy and are measured using readout circuits. The wireless part of the presented design achieves a low quiescent current and line/load regulation and high antenna/current efficiency with thermal protection to avoid damage to the implanted tissue. Epilepsy is suppressed by reducing the temperature to reduce the duration of this epileptic episode. Related characterisations demonstrate that the proposed design can be adopted in an effective nanomedicine microsystem.