• Title/Summary/Keyword: Autonomic neural system

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Effects of One-time bamboo stepping on the Elderly's Blood Pressure and the Autonomic Neural System (일회성 대나무 밟기가 노인의 혈압과 자율신경계에 미치는 영향)

  • Jeon, Do-yeon;Yun, Hui-young;Kwon, Eun-pyo;Son, Hee-su;Goo, Bong-oh
    • Journal of Korean Physical Therapy Science
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    • v.26 no.2
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    • pp.32-37
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    • 2019
  • Background: The purpose of this study is to investigate the change of blood pressure and autonomic neural system through one-time bamboo stepping in hypertensive elderly people. Design: Randomized Controlled Trial. Methods: We recruited 26 elderly people aged 65 or older for study. They sat for 10 minutes in a chair, rested, and measured pre-exercise blood pressure and autonomic neural system. The blood pressure was measured three times and the mean value was used and the autonomic neural system was measured once. Bamboo stepping exercise was performed for 20 minutes. Blood pressure and autonomic neural system were measured 5 times immediately after exercise, and every 15 minutes at 60 minutes after bamboo stepping exercise. Results: There was a significant difference in the decrease of systolic blood pressure after one-time bamboo stepping exercise, the change of parasympathetic activity (HF), heart rate variability (HRV) and BPM measured immediately after exercise at 15 minutes after exercise, There was no significant difference in autonomic neural system change. Conclusion: One-time Bamboo stepping exercise is effective in decreasing systolic blood pressure of the hypertensive elderly.

Neural Mechanism in Bronchial Asthma (기관지천식에서의 신경적 기전)

  • Choi, Byoung-Whui
    • Tuberculosis and Respiratory Diseases
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    • v.41 no.2
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    • pp.73-86
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    • 1994
  • In addition to classic cholinergic and adrenergic pathways, the existence of a third division of autonomic control in the human airways has been proved. It is called a nonadrenergic noncholinergic(NANC) nervous system, and difficult to study in the absence of specific blockers. Neuropeptides are certainly suggested to be transmitters of this NANC nervous system. It is very frustrating to understand the pathophysiologic role of these peptides in the absence of any specific antagonists. However, further studies of neuropeptides might eventually lead to novel forms of treatment for bronchial asthma. Another study of the interaction between different components of the autonomic nervous system, either in ganglionic neurotransmission or by presynaptic modulation of neurotransmitters at the end-organ will elute neural control in airway disease, particularly in asthma. Studies of how autonomic control may be disordered in airway disease should lead to improvements in clinical management. Epithelial damage due to airway inflammation in asthma may induce bronchial hyperresponsiveness. Axon reflex mechanism is one of possible mechanisms in bronchial hyperresponsiveness. Epithelial damage may expose sensory nerve terminals and C-fiber nrve endings are stimulated by inflammatory mediators. Bi-directional communication between the nerves and mast cells may have important roles in allergic process. The psychological factors and conditioning of allergic reactions is suggested that mast cell activation might be partly regulated by the central nervous system via the peripheral nerves. Studies in animal models, in huamn airways in vitro and in patients with airway disease will uncover the interaction between allergic disease processes and psychologic factors or neural mechainsms.

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Practical BioSignal analysis for Nausea detection in VR environment (가상현실환경에서 멀미 측정을 위한 생리신호 분석)

  • Park, M.J.;Kim, H.T.;Park, K.S.
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.11a
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    • pp.267-268
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    • 2002
  • We developed nausea, caused by disorder of autonomic nervous system, detection system using bio-signal analysis and artificial neural network in virtual reality enironment. We used 16 bio-signals, 9 EEGs, EOG, ECG, SKT, PPG, GSR, RSP, EGC, which has own analysis methods. We estimated nausea level by artificial neural network.

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An Action Mechanism of Substance P on the Tracheal Smooth Muscle Contraction in Rabbits (토끼 기관의 평활근 수축에 미치는 substance P 의 작용기전)

  • 명창률
    • Journal of Chest Surgery
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    • v.27 no.1
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    • pp.9-14
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    • 1994
  • Substance P[SP] has been known to be a peptide which may be plays a role as a neurotransmitter in central nervous system as well as peripheral autonomic nervous system. It has been reported that SP was widely distributed in the nerve of the tracheal smooth muscle and induced the muscle contraction. However, definite action mechanism of SP in the tracheal smooth muscle was not clear, yet. Thus, present experiment was performed to elucidate an effect of substance P and an action mechanism on contraction of the smooth muscle in rabbits. In order to find a neural mechanism to the effect of SP on the tracheal smooth muscle contraction, atropine sulfate, tetrodotoxin, propranol and phentolamine were administered at 10 min before the addition of SP. Otherwise,to find effect of SP antagonists on the action of SP, [D-Pro2, D-Try7,9]SP, [D-Arg1, D-Pro2, D-Trp7,9, Leu11]SP and [D-Pro4, D-Trp7,9]SP were administered as a same fashion. These following results were obtained. 1] SP induced contraction of the tracheal smooth muscle under resting condition and the contraction was increased dose-dependently. 2] Cholinergic blocker[atropine], neural blocker[tetrodotoxin] and adrenergic blocker[propranol and phentolamine] didn`t have an effect on the contractile response. 3] Three SP antagonists inhibited the contractile response. 4] Isoproterenol relaxed the contraction induced by SP. The above results suggested that SP induced contraction of the tracheal smooth muscle directly act to the smooth muscle in rabbits. The autonomic nervous system did not seem to participate in the SP action.

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Dysfunction of Autonomic Nervous System in Patients with Chronic Obstructive Pulmonary Diseases (만성 폐쇄성 폐질환 환자의 자율신경 장애)

  • Shin, Kyeong-Cheol;Lee, Kwan-Ho;Park, Hye-Jung;Shin, Chang-Jin;Lee, Choong-Ki;Chung, Jin-Hong;Lee, Hyun-Woo
    • Tuberculosis and Respiratory Diseases
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    • v.46 no.3
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    • pp.317-326
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    • 1999
  • Background: Neural control of airway function is through parasympathetic, sympathetic and non-adrenergic, non-cholinergic mechanisms. The autonomic nervous system controls the airway smooth muscle tone, mucociliary system, permeability and blood flow in the bronchial circulation and release of mediators from the mast cells and other inflammatory cells. The cardiovascular and respiratory autonomic efferent fibers have a common central origin, so altered cardiovascular autonomic reflexes could reflect the altered respiratory autonomic status. Therefore, we performed this study to assess the autonomic abnormality and determine the correlating factors of severity of autonomic neuropathy in patients with chronic obstructive pulmonary disease(COPD) using easily reproducible cardiovascular autonomic reflex function test. Method: The study included 20 patients with COPD and 20 healthy persons obtained on Health Promotion Center in Yeungnam university hospital. All the patients had history and clinical features of COPD as defined by the American Thoracic Society. Any patients with myocardial ischemia, cardiac arrythmia, hypertension, central or peripheral nervous system disease, diabetes mellitus, or any other diseases known to produce autonomic neuropathy, has excluded. The autonomic nervous system function tests included three tests evaluating the parasympathetic system and two tests evaluating the sympathetic system. And also all subjects were subjected to pulmonary function test and arterial blood gas analysis. Results: Autonomic dysfunction was more commonly associated with patients with COPD than healthy person The parasympathetic dysfunction was frequent in patient with COPD, but sympathetic dysfunction seemed preserved. The severity of parasympathetic dysfunction in patients with COPD was correlated with the degree of duration of disease, smoking, reductions in the value of $FEV_1$ and FVC, and arterial hypoxemia but no such correlation existed for age, type of COPD, $FEV_1$/FVC, or $PaCO_s$. Conclusion: There is high frequency of parasympathetic dysfunction associated with COPD and the parasympathetic abnormality in COPD is increased in proportion to severity of airway disease. In COPD, parasympathetic dysfunction probably does not the cause of disease, but it may be an effect of disease progression.

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Cardiac Autonomic Control and Neural Arousal as Indexes of Fatigue in Professional Bus Drivers

  • Lecca, Luigi I.;Fadda, Paolo;Fancello, Gianfranco;Medda, Andrea;Meloni, Michele
    • Safety and Health at Work
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    • v.13 no.2
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    • pp.148-154
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    • 2022
  • Background: Bus driving is a mentally demanding activity that requires prolonged attention to ensure safety. The aim of the study was to assess mental fatigue caused by driving a public bus and to find a profile of workers at higher risk. Methods: We evaluated changes of critical flicker fusion (CFF) (index of central arousal) and heart rate variability (HRV) (index of autonomic balance) in a 6-hour driving shift on a real route, in 31 professional bus drivers, and we tested the influence of personal factors such as sleep quality, BMI, and age. Paired t-test was used to test differences of CFF and HRV between both initial and final phase of driving, while multiple linear regression tested the influence of personal variables on the indexes of mental fatigue. Results: Results showed that CFF significantly decreased after 6 hours of bus driving (41.91 Hz, sd 3.31 vs. 41.15 Hz, sd 3.15; p = 0.041), and heart rate significantly decreased in the final phase of driving, with respect to the initial phase (85 vs. 78 bpm, p = 0.027). Increasing age (beta = -0.729, p = 0.022), risk of obstructive sleep apnea syndrome (beta = -0.530, p = 0.04), and diurnal sleepiness (beta = -0.406, p = 0.017) showed a significant effect on influencing mental fatigue. Conclusion: Elderly drivers at higher risk of sleep disorders are more prone to mental fatigue, when exposed to driving activity. Monitoring indexes of central arousal and autonomic balance, coupled with the use of structured questionnaires can represent a useful strategy to detect profile of workers at higher risk of mental fatigue in such duty.

Stress and Immune Function (스트레스와 면역기능)

  • Koh, Kyung-Bong
    • Korean Journal of Psychosomatic Medicine
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    • v.4 no.1
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    • pp.146-154
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    • 1996
  • The impact of stress on immune function is known to be associated with the interactions among the central nervous system(CNS), neuroendocrine system, and immune system. The main pathways between stress and immune system are wiring of lymphoid organs and neuroendocrine system. Immune system also produces neuropeptides, which modulate immune system. Mediators of psychosocial influences on immune function are found to be peptides released by the pituitry, hormones, md autonomic nervous system. Hypothalamus integrates endocrine, neural and immune systems. Particularly, paraventricular nucleus appears to play a central role in this integration. On the other hand, endocrine system receives feedback from the immune system. The major regulatory pathways which pituitary modulates include the hypothalamic-pituitary-adrenal-thymic(HPAT) axis, hypothalamic-pituitary-gonadal-thymic(HPGT) axis, pineal-hypothalamic-pituitary(PHP) axis. Bidirectional pathways such as feedforward and feedback pathways are suggested in the interaction between stress and immune system. It suggests that psychosocial inputs affect immune function, but also that immunological inputs affect psychosocial function. Thus, prospective studies for elucidating the relationship between stress and immune function should incorporate measures of immune function as well as measures of endocrine, autonomic, and brain activities at the same time.

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Approach to pupillary abnormalities via anatomical pathways (동공 질환의 접근: 해부학적 경로를 통해서)

  • Kim, Sung-Hee
    • Journal of Yeungnam Medical Science
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    • v.34 no.1
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    • pp.11-18
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    • 2017
  • The pupillary size and movement are controlled dynamically by the autonomic nervous system; the parasympathetic system constricts the iris, while the sympathetic system dilates the iris. Under normal conditions, these constrictions and dilations occur identically in both eyes. Asymmetry in the pupillomotor neural input or output leads to impaired pupillary movement on one side and an unequal pupil size between both eyes. Anisocoria is one of the most common signs in neuro-ophthalmology, and the neurological disorders that frequently cause anisocoria include serious diseases, such as vascular dissection, fistula, and aneurysm. A careful history and examination can identify and localize pupillary disorders and provide a guide for appropriate evaluations.

Intraoperative Neurophysiology Monitoring for Spinal Dysraphism

  • Kim, Keewon
    • Journal of Korean Neurosurgical Society
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    • v.64 no.2
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    • pp.143-150
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    • 2021
  • Spinal dysraphism often causes neurological impairment from direct involvement of lesions or from cord tethering. The conus medullaris and lumbosacral roots are most vulnerable. Surgical intervention such as untethering surgery is indicated to minimize or prevent further neurological deficits. Because untethering surgery itself imposes risk of neural injury, intraoperative neurophysiological monitoring (IONM) is indicated to help surgeons to be guided during surgery and to improve functional outcome. Monitoring of electromyography (EMG), motor evoked potential, and bulbocavernosus reflex (BCR) is essential modalities in IONM for untethering. Sensory evoked potential can be also employed to further interpretation. In specific, free-running EMG and triggered EMG is of most utility to identify lumbosacral roots within the field of surgery and filum terminale or non-functioning cord can be also confirmed by absence of responses at higher intensity of stimulation. The sacral nervous system should be vigilantly monitored as pathophysiology of tethered cord syndrome affects the sacral function most and earliest. BCR monitoring can be readily applicable for sacral monitoring and has been shown to be useful for prediction of postoperative sacral dysfunction. Further research is guaranteed because current IONM methodology in spinal dysraphism is still deficient of quantitative and objective evaluation and fails to directly measure the sacral autonomic nervous system.

Performance Evaluation of Deep Neural Network (DNN) Based on HRV Parameters for Judgment of Risk Factors for Coronary Artery Disease (관상동맥질환 위험인자 유무 판단을 위한 심박변이도 매개변수 기반 심층 신경망의 성능 평가)

  • Park, Sung Jun;Choi, Seung Yeon;Kim, Young Mo
    • Journal of Biomedical Engineering Research
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    • v.40 no.2
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    • pp.62-67
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    • 2019
  • The purpose of this study was to evaluate the performance of deep neural network model in order to determine whether there is a risk factor for coronary artery disease based on the cardiac variation parameter. The study used unidentifiable 297 data to evaluate the performance of the model. Input data consists of heart rate parameters, which are SDNN (standard deviation of the N-N intervals), PSI (physical stress index), TP (total power), VLF (very low frequency), LF (low frequency), HF (high frequency), RMSSD (root mean square of successive difference) APEN (approximate entropy) and SRD (successive R-R interval difference), the age group and sex. Output data are divided into normal and patient groups, and the patient group consists of those diagnosed with diabetes, high blood pressure, and hyperlipidemia among the various risk factors that can cause coronary artery disease. Based on this, a binary classification model was applied using Deep Neural Network of deep learning techniques to classify normal and patient groups efficiently. To evaluate the effectiveness of the model used in this study, Kernel SVM (support vector machine), one of the classification models in machine learning, was compared and evaluated using same data. The results showed that the accuracy of the proposed deep neural network was train set 91.79% and test set 85.56% and the specificity was 87.04% and the sensitivity was 83.33% from the point of diagnosis. These results suggest that deep learning is more efficient when classifying these medical data because the train set accuracy in the deep neural network was 7.73% higher than the comparative model Kernel SVM.