Zobrazeno 1 - 10 of 129 pro vyhledávání: '"Tetsuji, Inagawa"'
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Akademický článek
Recent Declining Trend of Incidence Rate of Subarachnoid Hemorrhage in Shimane, Japan: The Japan Incidence of Subarachnoid Hemorrhage (JIS) Study
Autor: Shingo MATSUDA, Fusao IKAWA, Toshikazu HIDAKA, Shuhei YAMAGUCHI, Tetsuji INAGAWA, Nobutaka HORIE, Kaoru KURISU, Yasuhiko AKIYAMA, Yoshihito GOTO, Takeo NAKAYAMA, Hitoshi FUKUDA, Tetsuya UEBA, Masahiro SASAKI, Tatsuya ISHIKAWA, Norihito SHIMAMURA, Hiroki OHKUMA, JIS study group
Publikováno v: Neurologia Medico-Chirurgica, Vol 62, Iss 10, Pp 458-464 (2022)
The “Izumo Study” revealed the incidence rate of subarachnoid hemorrhage (SAH) in Izumo City, Shimane Prefecture, Japan, from 1980 to 1998. However, no study has been published regarding the incidence of SAH in Shimane Prefecture after 1998. Most
Externí odkaz: https://doaj.org/article/e60ce2fb52a54c33b4330f0e80e09111
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2
Early Initiation of Exoskeletal Robotic Gait Training Improves Functional Outcomes in the Patients with Stroke: A Retrospective Observational Study
Autor: Akira Degami, Shingo Taki, Takeshi Imura, Yuji Iwamoto, Naoki Imada, Ryo Tanaka, Susumu Urakawa, Tetsuji Inagawa, Hayato Araki, Osamu Araki
Publikováno v: European Neurology. 86:121-127
Introduction: The effect of early initiation of gait training using hybrid assistive limb (HAL) remains unclear. This observational study aimed to investigate whether early initiation of gait training using HAL improves functional outcomes in patient
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bd9b344de6cd5b88fad83daa4a82c62
https://doi.org/10.1159/000527710
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3
Prevalence of cerebral aneurysms in autopsy studies: a review of the literature
Autor: Tetsuji Inagawa
Publikováno v: Neurosurgical Review. 45:2565-2582
Cerebral aneurysms (CAs) are one of the most important causes of stroke, but details of their prevalence remain under-researched. Autopsy data for CAs were reviewed using standard search engines. Based on previously published autopsy and clinical stu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9449f95de648cabc5f1462b9cd3915ed
https://doi.org/10.1007/s10143-022-01783-7
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4
Does frequent use of an exoskeletal upper limb robot improve motor function in stroke patients?
Autor: Yuji Iwamoto, Ryo Tanaka, Takeshi Imura, Tsubasa Mitsutake, Hungu Jung, Takahiro Suzukawa, Shingo Taki, Naoki Imada, Tetsuji Inagawa, Hayato Araki, Osamu Araki
Publikováno v: Disability and rehabilitation.
To determine how differences in frequency of the single-joint hybrid assistive limb (HAL-SJ) use affect the improvement of upper limb motor function and activities of daily living (ADL) in stroke patients.Subacute stroke patients were divided into th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8053c694d5ca591417b3cb4c6abb822a
https://pubmed.ncbi.nlm.nih.gov/35332828
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5
Clinical Prediction Rule for Identifying the Stroke Patients who will Obtain Clinically Important Improvement of Upper Limb Motor Function by Robot-Assisted Upper Limb
Autor: Yuji Iwamoto, Takeshi Imura, Ryo Tanaka, Tsubasa Mitsutake, Hungu Jung, Takahiro Suzukawa, Shingo Taki, Naoki Imada, Tetsuji Inagawa, Hayato Araki, Osamu Araki
Publikováno v: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 31(7)
The number of studies on the characteristics of patients with stroke who would benefit from robot-assisted upper limb rehabilitation is limited, and there are no clear criteria for determining which individuals should receive such treatment. The curr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f266bee5b1961e56b91cd7a8dcf35e1b
https://pubmed.ncbi.nlm.nih.gov/35500359
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6
Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors
Autor: Yu Inoue, Hayato Araki, Osamu Araki, Haruki Toda, Tetsuji Inagawa, Takeshi Imura, Ryo Tanaka, Yuji Iwamoto, Naoki Imada
Publikováno v: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 30(4)
Background and purpose The importance of environmental factors for stroke patients to achieve home discharge was not scientifically proven. There are limited studies on the application of the decision tree algorithm with various functional and enviro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f2cb0f844370e267780c79ce4cd82ae
https://pubmed.ncbi.nlm.nih.gov/33545520
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7
Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis
Autor: Naoki Imada, Hayato Araki, Tetsuji Inagawa, Ryo Tanaka, Takeshi Imura, Osamu Araki, Yuji Iwamoto
Publikováno v: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 29(12)
Background and Purpose Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited clin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05bbb9e78de9a85ba9df3f7ba57a779f
https://pubmed.ncbi.nlm.nih.gov/32992179
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8
Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis
Autor: Tetsuji Inagawa, Yu Inoue, Naoki Imada, Osamu Araki, Haruki Toda, Hayato Araki, Yuji Iwamoto, Takeshi Imura, Ryo Tanaka
Publikováno v: Journal of Stroke and Cerebrovascular Diseases. 30:106011
Objectives Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38ae2b31bcf1278623bb448317898c12
https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.106011
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9
Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge
Autor: Tetsuji Inagawa, Ryo Tanaka, Takeshi Imura, Hayato Araki, Yuki Azuma, Osamu Araki, Naoki Imada, Yuji Iwamoto
Publikováno v: Journal of Stroke and Cerebrovascular Diseases. 30:105868
Background and purpose Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated ad
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36685cc3681d3b9f230affe99cbe40a4
https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105868
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10
Risk Factors for Cerebral Vasospasm Following Aneurysmal Subarachnoid Hemorrhage: A Review of the Literature
Autor: Tetsuji Inagawa
Publikováno v: World Neurosurgery. 85:56-76
Objective To examine the literature on risk factors for cerebral vasospasm (CV), one of the most serious complications following aneurysmal subarachnoid hemorrhage (SAH), with special reference to the definition of CV. Methods Using standard search e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e3a00bcbb92b33f20da4b834c6ed48a
https://doi.org/10.1016/j.wneu.2015.08.052
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