Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Yukihiko Aoyagi"'
Autor:
Yuichi Ohashi, Clinton D. Protack, Yukihiko Aoyagi, Luis Gonzalez, Carly Thaxton, Weichang Zhang, Masaki Kano, Hualong Bai, Bogdan Yatsula, Rafael Alves, Katsuyuki Hoshina, Eric B. Schneider, Xiaochun Long, Rachel J. Perry, Alan Dardik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Clinical outcomes of arteriovenous fistulae (AVF) for hemodialysis remain inadequate since biological mechanisms of AVF maturation and failure are still poorly understood. Aortocaval fistula creation (AVF group) or a sham operation (sham gro
Externí odkaz:
https://doaj.org/article/6d1010d949bb4f7e835adae694179729
Autor:
Atsuhito Taishaku, Shigeki Yamada, Chifumi Iseki, Yukihiko Aoyagi, Shigeo Ueda, Toshiyuki Kondo, Yoshiyuki Kobayashi, Kento Sahashi, Yoko Shimizu, Tomoyasu Yamanaka, Motoki Tanikawa, Yasuyuki Ohta, Mitsuhito Mase
Publikováno v:
Sensors, Vol 24, Iss 19, p 6329 (2024)
Pathological gait in patients with Hakim’s disease (HD, synonymous with idiopathic normal-pressure hydrocephalus; iNPH), Parkinson’s disease (PD), and cervical myelopathy (CM) has been subjectively evaluated in this study. We quantified the chara
Externí odkaz:
https://doaj.org/article/73915fd711ef4a8a9695a3db104d2ca5
Autor:
Chifumi Iseki, Shou Suzuki, Tadanori Fukami, Shigeki Yamada, Tatsuya Hayasaka, Toshiyuki Kondo, Masayuki Hoshi, Shigeo Ueda, Yoshiyuki Kobayashi, Masatsune Ishikawa, Shigenori Kanno, Kyoko Suzuki, Yukihiko Aoyagi, Yasuyuki Ohta
Publikováno v:
Sensors, Vol 23, Iss 22, p 9263 (2023)
We aimed to capture the fluctuations in the dynamics of body positions and find the characteristics of them in patients with idiopathic normal pressure hydrocephalus (iNPH) and Parkinson’s disease (PD). With the motion-capture application (TDPT-GT)
Externí odkaz:
https://doaj.org/article/97c34624262944f8bdc33f670ff8fe2a
Autor:
Weichang Zhang, Luis Gonzalez, Carly Thaxton, Yuichi Ohashi, Yukihiko Aoyagi, Yangzhouyun Xie, Yujun Cai, Chang Shu, Julie Goodwin, Alan Dardik
Publikováno v:
JVS - Vascular Science, Vol 4, Iss , Pp 100147- (2023)
Externí odkaz:
https://doaj.org/article/f12274c78bd348899b52f3782d104ac9
Autor:
Chifumi Iseki, Tatsuya Hayasaka, Hyota Yanagawa, Yuta Komoriya, Toshiyuki Kondo, Masayuki Hoshi, Tadanori Fukami, Yoshiyuki Kobayashi, Shigeo Ueda, Kaneyuki Kawamae, Masatsune Ishikawa, Shigeki Yamada, Yukihiko Aoyagi, Yasuyuki Ohta
Publikováno v:
Sensors, Vol 23, Iss 13, p 6217 (2023)
Distinguishing pathological gait is challenging in neurology because of the difficulty of capturing total body movement and its analysis. We aimed to obtain a convenient recording with an iPhone and establish an algorithm based on deep learning. From
Externí odkaz:
https://doaj.org/article/6a2d83fdc6d24dcda3cd4253aa1037cc
Autor:
Weichang Zhang, Luis Gonzalez, Satam Keyuree, Yuichi Ohashi, Yukihiko Aoyagi, Ocean Setia, Destina Jodhel, Li Xin, Shu Chang, Alan Dardik
Publikováno v:
JVS - Vascular Science, Vol 3, Iss , Pp 405- (2022)
Externí odkaz:
https://doaj.org/article/093052c6cae94ecd9d82406a3ec9b423
Autor:
Shigeki Yamada, Yukihiko Aoyagi, Chifumi Iseki, Toshiyuki Kondo, Yoshiyuki Kobayashi, Shigeo Ueda, Keisuke Mori, Tadanori Fukami, Motoki Tanikawa, Mitsuhito Mase, Minoru Hoshimaru, Masatsune Ishikawa, Yasuyuki Ohta
Publikováno v:
Sensors, Vol 23, Iss 2, p 617 (2023)
To assess pathological gaits quantitatively, three-dimensional coordinates estimated with a deep learning model were converted into body axis plane projections. First, 15 healthy volunteers performed four gait patterns; that is, normal, shuffling, sh
Externí odkaz:
https://doaj.org/article/0974505ea8f7496586fff941b4d6aabf
Autor:
Keyuree Satam, Yuichi Ohashi, Luis Gonzalez, Yukihiko Aoyagi, Ocean Setia, Weichang Zhang, Alan Dardik
Publikováno v:
JVS - Vascular Science, Vol 3, Iss , Pp 407-408 (2022)
Externí odkaz:
https://doaj.org/article/4083c7a34441499d9c483ab5ccaf448c
Autor:
Yukihiko Aoyagi, Shigeki Yamada, Shigeo Ueda, Chifumi Iseki, Toshiyuki Kondo, Keisuke Mori, Yoshiyuki Kobayashi, Tadanori Fukami, Minoru Hoshimaru, Masatsune Ishikawa, Yasuyuki Ohta
Publikováno v:
Sensors, Vol 22, Iss 14, p 5282 (2022)
To quantitatively assess pathological gait, we developed a novel smartphone application for full-body human motion tracking in real time from markerless video-based images using a smartphone monocular camera and deep learning. As training data for de
Externí odkaz:
https://doaj.org/article/03f10ef995a541dc93e53a6ba5e0f9ec
Autor:
Shigeki Yamada, Yukihiko Aoyagi, Masatsune Ishikawa, Makoto Yamaguchi, Kazuo Yamamoto, Kazuhiko Nozaki
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Background: The subjective evaluation of pathological gait exhibits a low inter-rater reliability. Therefore, we developed a three-dimensional acceleration of the trunk during walking to assess the pathological gait quantitatively.Methods: We evaluat
Externí odkaz:
https://doaj.org/article/4d26000a8f5541319ef92641e4ebad3a