Purpose: The aim of the present study was to understand the relationship between gait symmetry and functional balance, walking performance in stroke patients and to makes recommendation regarding the most suitable measure for standardization of expression of spatiotemporal gait symmetry. Methods: 45 subjects with stroke (31 men, 14 women, $57.3{\pm}10.3$ years old) participated in this study. Gait symmetry was calculated by equations of symmetry ratio (SR) and symmetry criterion (SC) for stance time, swing time, single leg support time (SLST), step length, and stride length. Spatiotemporal parameters were measured respectively by walkway system ($GAITRite^{TM}$ system). Limit of stability (LOS) by using forceplate (Balance Performance Monitor) during voluntary weight displacement and Berg Balance Scale (BBS) were measured as functional balance and Timed Up and Go test (TUG) and Functional Ambulation Category (FAC) were assessed as functional walking. Results: SR in stance time and swing time was correlation with BBS, TUG and FAC (p<0.05). SR in SLST only with BBS (p<0.01), SR in step length only with FAC (p<0.05). SC in stance time was correlation with BBS and TUG (p<0.05). SC in swing time and SLST with BBS, TUG and FAC (p<0.01), SC in step length with TUG and FAC (p<0.01), SC in stride length with BBS and FAC (p<0.01). Conclusion: Gait symmetry in spatiotemporal gait parameters provides meaningful information about functional balance and walking performance in stroke subjects. Our analysis may support the recommendations of the symmetry criterion as equation for standardization of gait symmetry.
Objective: The purpose of this study was to investigate the effect of cervical range of motion training on the change in respiratory function growth rate at the group and individual level in stroke patients and stroke patients with tracheostomy tube. Design: A Multilevel Growth Model Methods: 8 general stroke patients and 6 stroke patients who had a tracheostomy tube inserted were subjected to cervical range of motion training 3 times a week for 4 weeks. Force vital capacity (FVC), Forced expiratory volume in the first second (FEV1), Forced expiration ratio (FEV1/FVC) and Manual assist peak cough flow (MPCF) were measured. Data were analyzed using descriptive statistics and multilevel analysis with HLM 8.0. Results: A significant difference was found in the respiratory function analysis growth rate of the entire group (p<0.05), and two groups were added to the research model. The linear growth rate of respiratory function in patients with general stroke increased with the exception of FEV1/FVC (p<0.05). Stroke patients with tracheostomy tube showed a decreasing pattern except for FVC. In particular, MPCF showed a significantly decreased result (p<0.05). Conclusions: This study found that the maintenance of improved respiratory function in stroke patients with tracheostomy tube decreased over time. However, cervical range of motion training is still a useful method for respiratory function in general stroke patients and stroke patients with tracheostomy tube.
International Journal of Computer Science & Network Security
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v.23
no.11
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pp.183-189
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2023
A stroke is a medical disease where a blood vessel in the brain ruptures, causes damage to the brain. If the flow of blood and different nutrients to the brain is intermittent, symptoms may occur. Stroke is other reason for loss of life and widespread disorder. The prevalence of stroke is high in growing countries, with ischemic stroke being the high usual category. Many of the forewarning signs of stroke can be recognized the seriousness of a stroke can be reduced. Most of the earlier stroke detections and prediction models uses image examination tools like CT (Computed Tomography) scan or MRI (Magnetic Resonance Imaging) which are costly and difficult to use for actual-time recognition. Machine learning (ML) is a part of artificial intelligence (AI) that makes software applications to gain the exact accuracy to predict the end results not having to be directly involved to get the work done. In recent times ML algorithms have gained lot of attention due to their accurate results in medical fields. Hence in this work, Stroke disease identification system by using Machine Learning algorithm is presented. The ML algorithm used in this work is Artificial Neural Network (ANN). The result analysis of presented ML algorithm is compared with different ML algorithms. The performance of the presented approach is compared to find the better algorithm for stroke identification.
The aim of this new statement is to provide comprehensive and timely evidence-based recommendations on stroke management for clinical practitioners. Many countries are already well engaged in developing and releasing their own clinical practice guidelines, whereas Korean Medicine (KM) is still beginning. It will take time and effort to develop evidence-based guidelines and recommendations of KM or other traditional medicine because they are weak in the area of scientific evidence. The clinical practice guideline of Korean medicine for stroke was formulated through extensive review of published literature and consensus meeting of Korean medicine specialists. This project was supported by a grant of the Oriental Medicine R&D Project, the Ministry of Health and Welfare. Referring to guidelines developed in other countries, the experts in the subject tried to organize and develop guidelines and recommendations adequate for domestic medical circumstances. In December, 2008, a multi-disciplinary team called the Evidence Based Clinical Practice Guidelines Development Group (EBCPGsDG) for Stroke was organized. The writing committee was comprised of experts in internal medicine, acupuncture, rehabilitation, and Sasang constitution. Outside specialists and associated panels were invited for consultation. The scope of the guideline encompasses acupuncture, moxibustion and herbal medicine (including Korean medicine, traditional Chinese medicine, Kampo medicine) as interventions for stroke patients. It includes statements about ischemic stroke (I63), stroke not specified as hemorrhage or infarction (I64), and sequelae of cerebrovascular disease (I69) according to the International Classification of Disease (ICD). The committee subdivided the description of herbal medications into acute stroke management, subacute stroke management, post-stroke management, and secondary prevention of stroke. Guidelines on the practice of acupuncture and moxibustion were described in order for acute stroke management, subacute stroke management, chronic stroke management, and post-stroke rehabilitation. Clinicians who are working in the field of stroke care can adopt this guideline for their practice.
Objective : We studied only patients at the acute stage but existing studies on stroke didn't almost classify the stage. We examined 243 patients admitted to the Woo Suk university oriental medical hospital from January 1998 to December 1999 for 2 years. Methods : We analyzed patients into sex, Sasang constitution, the incidence and lesion according to the stroke types, post and family history, onset time, period to admission and physical treatment from onset, and symptom, blood pressure, cholesterol level and herb medicine at entry. Results : Our study was similar to existing studies in the distribution of sex, age and the lesion of stroke, post and family history, and symptoms at entry. But it differed in the constitution, incidence of cerebral infarction and intracranial hemorrhage, attack time, period to admission and physical treatment from onset day, and the symptoms, blood pressure, cholesterol level and herb medication. In comparison between infarction and hemorrhage patients, there was some difference in the distribution of onset time, but wasn't in the cholesterol level. Conclusions : Our study on the acute stage of stroke was similar to existing studies in the general characteristics. But it showed some differences in the herb medicine at entry. In particular, there were much differences in the blood pressure at entry and the incidence of infarction and hemorrhage. We hoped that stroke patients would be synthetically studied in western and oriental medicine.
Journal of The Korean Society of Integrative Medicine
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v.10
no.4
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pp.145-151
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2022
Purpose : Stroke patients exhibit abnormal walking patterns such as slow walking speed and asymmetrical walking values. The recovery of symmetrical walking in the stance phase using a treadmill means improvements in walking speed and asymmetrical walking. The purpose of this research was to investigate the effect of unilateral step treadmill training (USTT) on gait speed and the recovery of symmetrical walking in chronic stroke patients. Methods : Fifteen patients (11 men and 4 women) with chronic stroke participated in this study. The 10-meter walk test (10MWT) and GAITRite system were used to determine the intervention-related changes in gait speed and symmetrical walking values such as non-paretic step length (NSL), non-paretic step time (NST), paretic single-support time (PSST), step length asymmetry (SLA), and step time asymmetry (STA) after USTT. All participants completed USTT and underwent measurements at 3 different times: at pretest, posttest, and the follow-up test. Repeated-measures analysis of variance was used to compare walking speed and asymmetrical walking values. The statistical significance level was set at p<.05. Results : Walking speed by 10MWT (p<.05) showed significant improvements after USTT as follows: at pretest and posttest (p<.05), posttest and follow-up test (p<.05), and pretest and follow-up test (p<.05). Recovery of symmetrical walking patterns such as NSL (p<.05), NST (p<.05), and SLA (p<.05) were observed after USTT. However, no significant improvements were found in PSST (p>.05) and STA (p>.05) in symmetrical gait. Conclusion : This study suggests that USTT may have a positive effect on walking speed and symmetrical walking patterns in chronic stroke patients. Thus, this study contributes to the existing knowledge about the usefulness of USTT for the effective management of patients with chronic stroke. Further studies are needed to generalize these findings.
Purpose: This study was designed to evaluate the clinical utility of the Four square step test (FSST) for predicting falls in stroke patients, to compare the ability of the FSST test to discriminate between subgroups of fallers, and to determine if the test has any predictive value in identifying stroke patients who will fall. Methods: Stroke patients (N=37) who could walk at least 50 m with minimal assistance were recruited consecutively when attending a physical therapy session during their rehabilitation. Dynamic standing balance was measured using the FSST. The main outcome measures were FSST time and fall number. Numbers of falls were compared with FSST scores. Differences between the groups in FSST scores were examined using a t-test and 1-way analysis of variance. Post hoc analysis using the Tukey B procedure was used to identify specific group differences. Alpha was set at 0.05. Results: A total of 15 participants (40.5%) reported falls 6 had recurrent falls (2 falls) and 9 fell once. The mean FSST time differed significantly between groups with zero and multiple falls. A cutoff score of greater than 17 seconds on the FSST was associated with a sensitivity of 83% and a specificity of 84% for the identification of subjects with multiple risk factors for falls. Conclusion: The FSST is a feasible and valid clinical test of dynamic standing balance and can predict falls in post-stroke patients.
Park, Hea-Jin;Back, In-Kyung;Um, Tae-Min;Ryu, Ho-Ryong;Kim, Yoon-Sik;Sul, In-Chan;Jo, Hyun-Kyung
Journal of Haehwa Medicine
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v.22
no.2
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pp.103-110
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2014
Objective : Western sleeping pills work very fast and effectively against insomnia. But they also bring about many side effects. Therefore oriental medicine can be a good alternative remedy. There are many clinical reports about patients treated for insomnia after stroke using oriental medicine. However, there are no clinical report about patients treated for insomnia after stroke diagnosed by Gobub & Bokjin. We want to prove the effect of Gobub & Bokjin in diagnosis and treatment for the insomnia patients after stroke. Methods : We chosed a patient who had suffered from insomnia after stroke. We administered acupuncture treatment, as well as Herbal medicine(Bokryoungum and Sanjoinsan). We monitored total sleep time per a day for 23 days. Results & Conclusion : Bokryoungum and Sanjoinsan was effective in improving overall sleep time day.
The purpose of this study was to investigate the effects of Proprioceptive Neuromuscular Facilitation (PNF) on the swallowing function of stroke patients. Twelve-week PNF (facial, tongue, and breathing exercise) was applied in the experimental group consisting of 12 subjects, and a general swallowing exercise program was applied to the control group consisting of 12 subjects. In addition, the signs of improvement in the stroke patients (N=24) swallowing function were examined by conducting a video fluoroscopic swallowing study. The data were analyzed using the SPSS ver. 21.0 program, which was also utilized to gain statistical information (percentage, mean, and standard deviation), and paired t-test was conducted. As a result of the analyses, the following conclusions were arrived at. The 12-week PNF significantly improved the functional dysphagia scale, penetration-aspiration scale, pharyngeal transit time, swallowing response time, residue in valleculae, and residue in pyriform sinuses enhanced swallowing functions of the stroke patients (p<.05). In conclusion, the PNF intervention in the swallowing function of the stroke patients was found to be an effective exercise program.
Purpose: This study compared the walking ability of chronic stroke patients following either treadmill training with knowledge of the result (KR group) or treadmill training with knowledge of the performance (KP group). Methods: Nineteen patients with chronic stroke were recruited from a rehabilitation hospital. The patients were divided into two groups: a KR group (10 patients) and a KP group (9 patients). They received 30 minutes of neuro-developmental therapy and treadmill training 30 minutes, five times a week for three weeks. The gait parameters were measured before and after training using the Optogait system. Results: After the training periods, the KR group showed significant improvement in gait speed, cadence, step length of the unaffected limb, stance time of the affected limb, and functional gait assessment compared to the KP group (p<0.05). Conclusion: The results showed that treadmill training with KR was more effective in improving the gait speed and cadence, step length of the unaffected limb, stance time of the affected limb, and functional gait ability than the treadmill training with KP. Therefore, to improve the walking ability of stroke patients, it is necessary to consider treadmill training with KR. If it can be combined with conventional neurological physiotherapy, it would be an effective rehabilitation for stroke patients.
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