• Journal of Veterinary Clinics
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• v.21 no.2
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• pp.177-180
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• 2004

Lower motor neuron signs of hind limbs, anus and bladder were identified by history taking and physical examination in the 6.8 year-old mongrel dog and 2.6 year-old Cocker spaniel. The Cocker spaniel, also showed gradual cranial migration of neurologic deficit including respiratory paralysis. On plain radiography and myelography, intervertebral disc extrusion between L2 and L3, the infiltration of contrast medium into the spinal cord and cord swelling were found in the mongrel dog, and infiltration of contrast medium like hollowness of cord parenchyma was observed in the Cocker spaniel. On the basis of clinical signs and radiographic findings, they were diagnosed tentatively as acute myelomalacia. The Cocker spaniel died of respiratory paralysis on the following day. Decompressive surgery was performed on the mongrel dog and the extensive necrosis and hemorrhage were found at surgery. It was euthanized with the owner's consent because of the perceived poor prognosis. Histopathologic examination after autopsy confirmed acute diffuse hemorrhagic myelomalacia with the swelling and the inflammation of axon, showing hemorrhagic changes in the white matter and the grey matter.

• Annals of Clinical Neurophysiology
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• v.3 no.1
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• pp.37-39
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• 2001

Although the etiology and pathogenesis of amyotrophic lateral sclerosis(ALS) is unknown, increasing evidence supports a role for autoimmune mechanisms in motor neuron degeneration. The coexistence of immune disease in ALS supports that an altered immune system may contribute to disease pathogenesis. A 55-year-old woman was admitted to our department due to dysarthria and gait disturbance. On physical and neurologic examination, she showed thyroid enlargement, tongue atrophy, muscle weakness, fasciculation, and increased deep tendon reflex. The electrophysiological studies are compatible with motor neuron disease. Cytological findings of thyroid were compatible with Hashimoto's thyroiditis. Thus, we report a case of ALS combined with Hashimoto's thyroiditis. And the simultaneous presentation with ALS and Hashimoto's thyroiditis led us to consider whether this was simply a chance association or not.

• The Journal of Korean Physical Therapy
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• v.18 no.3
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• pp.37-45
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• 2006

Purpose: This study analyzed changes in spinal neuron and action potential of motor unit depending on voluntary contraction on spinal neuron adaptation. Methods: It selected 80 university students in their twenties and divided into experimental groups of 25% MVIC (I), 50% MVIC (II), 75% MVIC (III) and 100% MVIC (IV) depending on maximum voluntary isometric contraction (MVIC) and performed isometric exercise of plantar flexor muscle to each experimental group with given contraction for 20 times. It measured Mmax, H/Mmax, Hmax latency, V/Mmax, V wave latency before and after exercise, compared method and volume of contraction. Results: H/Mmax ratio showed significant difference in comparison among groups (p<0.01) and there was difference in I and IV groups. V/Mmax ratio showed significant difference in comparison among experimental groups (p<0.05) and there was difference in I and IV groups. When voluntary contraction level was maximum, changes were greatest. However, no significantly difference was to Mmax, H latency and V wave latency. Conclusion: These results suggest that amplitude changes of voluntary contraction level, spinal neuron and supra-spinal neuron had a dose connection that the more contraction level, the better central activation seem to decrease highly for a short time.

• The Journal of Korean Physical Therapy
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• v.20 no.3
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• pp.9-18
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• 2008

Purpose: We determined the effect of global synkinesis(GS) on gait ability, muscle contraction, and central neuron action potentials in post-stroke hemiplegic subjects. Methods: Thirty hemiplegia patients were evaluated for walking ability, muscle contraction, central neuron action potential, and comparing differences between the H-GS(high-global synkinesis) group and L-GS(low-global synkinesis) group. To obtain the GS level, surface electromyography(EMG) data were digitized and processed to root mean square(RMS). Walking ability was tested with a modified motor assessment scale(MMAS), a 10 m walking test, timed up and go(TUG) test, and a Fugl-Meyer assessment(FMA). Muscle contraction ability was measured as maximal isometric contraction(MIC) peak, MIC slope, and MIC ramp up using mechanomyography(MMG). Central neuron action potential was measured as the H/Mmax ratio or V/Mmax ratio using EMG. The data were analyzed with t-tests to determine the statistical significance. Results: MMAS(p<0.01), 10 m walking velocity(p<0.01), TUG(p<0.01), FMA-HKA(Hip, Knee, Ankle)(p<0.05), FMA-coordination(p<0.05), MIC peak (p<0.05), MIC slope(p<0.01), and MIC ramp up(p<0.05) were significantly different between H-GS and L-GS, as was the V/Mmax ratio(p<0.05), but H/Mmax was not. Conclusion: Lower GS levels indicated better walking ability and motor function. Therefore, intervention programs should consider GS levels in gait training of chronic hemiplegia.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.51 no.12
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• pp.691-696
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• 2002

This paper presents a neural network based self-tuning fuzzy PID control scheme with variable learning rate for induction motor speed control. When induction motor is continuously used long time, its electrical and mechanical Parameters will change, which degrade the Performance of PID controller considerably. This Paper re-analyzes the fuzzy controller as conventional PID controller structure, introduces a single neuron with a back-propagation learning algorithm to tune the control parameters, and proposes a variable learning rate to improve the control performance. Proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink and the experiment using dSPACE(DS1102) board are performed to verify the effectiveness of the proposed scheme.

• Journal of Veterinary Clinics
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• v.30 no.2
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• pp.142-145
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• 2013

Equine motor neuron disease (EMND) is a spontaneous neurologic disorder of horses, which results from the degeneration of motor neurons in the spinal cord and brain stem. An 8-year-old Jeju pony gelding presented with weight loss, muscle tremors, frequent recumbence, low head carriage, sweating, and standing with four limbs close together. The gelding has been on the same stable and limited access to pasture for several years. The gelding has been fed with dried hays and commercial concentrated feeds. Laboratory test revealed very low serum vitamin E level (0.14 ${\mu}g/mL$; reference range > 1.5 ${\mu}g/mL$), mildly elevated creatine kinase (402 IU/L; reference range 119-287 IU/L) and aspartate aminotransferase (876 IU/L; reference range 226-336 IU/L). Oral glucose absorption test showed decreased glucose absorption. Histopathologic examination using a biopsy specimen from sacrocaudalis dorsalis medialis muscle revealed atrophic and hypertrophic muscle fiber, centralization of nucleus, degenerating and necrotic muscle fibers. Taken together, the gelding was diagnosed as EMND. After oral vitamin E administrated for 5 weeks, the gelding showed normally improved stance, decreased periods of recumbency, improved head carriage and weight gain except consistent tremors. This is the first report that successfully treated EMND case occurred in a Jeju pony in Korea.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.598-602
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• 2003

In this paper, we propose the method to control the position of LDM(Linear DC Motor) using vision system. The proposed method is composed of a vision system for position detecting, and main computer calculates PID control output which is deliver to 8051 actuator circuit in serial communication. To confirm the usefulness of the proposed method, we experimented about position control of a small size LDM using CCD camera which has a performance 30frames/sec as vision system.

• Proceedings of the KIEE Conference
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• 2002.07b
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• pp.1165-1168
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• 2002

This paper presents a neural network based self-tuning fuzzy PID control scheme with variable learning rate for sensorless vector controlled induction motor drives. MRAS(Model Reference Adaptive System) is used for rotor speed estimation. When induction motor is continuously used long time. its electrical and mechanical parameters will change, which degrade the performance of PID controller considerably. This paper re-analyzes the fuzzy controller as conventional PID controller structure, introduces a single neuron with a back-propagation learning algorithm to tune the control parameters, and proposes a variable learning rate to improve the control performance. The proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink and the experiment using DS1102 board show the robustness of the proposed controller to parameter variations.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.05a
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• pp.319-324
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• 2005

The interface between host processor and the ShortStack Micro Server may be a Serial Communication Interface(SCI). The LonWorks control module with a high performance is developed, which is composed of the 8 bit PIC Microprocessor for host processor and the smart neuron chip for the ShoretStack Micro Server. This intelligent control board is verified as proceeding the various function tests from experimental system with an boost pump and inverter driving systems. It is also confirmed that the developed control module provides stably 0-10VDC linear signal to the input signal of inverter driving system for varying the induction motor speed. Thus, the experimental results show that the fabricating intelligent board carried out very well the various functions in the wide operating ranges of boost pump system. This developed control module expect to apply to industrial fields to require the comparatively exact control and monitoring such as multi-motor driving system with inverter, variable air volume system and the boost pump water supply systems.

• Proceedings of the KIPE Conference
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• 1998.07a
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• pp.225-229
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• 1998

If there is a mismatch between the controller programmed rotor time constant and the actual time constant of motor, the decoupling between the flux and torque is lost in an indirect rotor field oriented control. This paper presents a new estimation scheme for rotor time constant using artificial neural networks. The parameters of induction motor model organize 2 layer neural to be weight between neuron, which is proposed new in this paper. This method makes networks simple, so its brings not only the improvement in speed but simplification in calculation. Furthermore, it is possible to estimated rotor time constant real time through on-line learning without using off-line learning. The digital simulation and the experimental results to verify the effectiveness of the new method are described in this paper.