Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Tatsuya, Hayasaka"'
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Akademický článek
Comparison of accuracy between augmented reality/mixed reality techniques and conventional techniques for epidural anesthesia using a practice phantom model kit
Autor: Tatsuya Hayasaka, Kazuharu Kawano, Yu Onodera, Hiroto Suzuki, Masaki Nakane, Masafumi Kanoto, Kaneyuki Kawamae
Publikováno v: BMC Anesthesiology, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background This study used an epidural anesthesia practice kit (model) to evaluate the accuracy of epidural anesthesia using standard techniques (blind) and augmented/mixed reality technology and whether visualization using augmented/mixed r
Externí odkaz: https://doaj.org/article/33313f4da4ee421084cbfd6af6c8e30b
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3
Akademický článek
Fluctuations in Upper and Lower Body Movement during Walking in Normal Pressure Hydrocephalus and Parkinson’s Disease Assessed by Motion Capture with a Smartphone Application, TDPT-GT
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
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4
Akademický článek
Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT)
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
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5
Akademický článek
Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study
Autor: Tatsuya Hayasaka, Kazuharu Kawano, Kazuki Kurihara, Hiroto Suzuki, Masaki Nakane, Kaneyuki Kawamae
Publikováno v: Journal of Intensive Care, Vol 9, Iss 1, Pp 1-14 (2021)
Abstract Background Tracheal intubation is the gold standard for securing the airway, and it is not uncommon to encounter intubation difficulties in intensive care units and emergency rooms. Currently, there is a need for an objective measure to asse
Externí odkaz: https://doaj.org/article/b8c78078e3cf4eb7b12a1a1ceb17051b
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6
Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data   Acquired by an iOS Application (TDPT-GT)
Autor: Ohta, 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
Publikováno v: Sensors; Volume 23; Issue 13; Pages: 6217
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://explore.openaire.eu/search/publication?articleId=multidiscipl::45fdb5c3138c23e78875bb1d476cca0b
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7
Ivabradine as an Adjuvant Agent for Severe Heart Failure Occurring in the Early Phase after Allogeneic Hematopoietic Cell Transplantation
Autor: Ryo, Yanagiya, Masahiro, Wanezaki, Naohisa, Nakamura, Tsubasa, Ichikawa, Tatsuya, Hayasaka, Akane, Yamada, Keiko, Aizawa, Satoshi, Ito, Masahito, Himuro, Hiroto, Suzuki, Masakazu, Yamamoto, Tomomi, Toubai, Masafumi, Watanabe, Kenichi, Ishizawa
Publikováno v: Internal Medicine. 61:2779-2784
Cardiotoxicity is a critical complication of allogeneic hematopoietic cell transplantation (allo-HCT). In particular, management of severe cardiotoxicity occurring in the early phases of allo-HCT is challenging. We encountered a case of severe cardio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6336ee1e4d57558583c241e7bad04d38
https://doi.org/10.2169/internalmedicine.7946-21
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9
Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study
Autor: Kazuharu Kawano, Hiroto Suzuki, Masaki Nakane, Kaneyuki Kawamae, Tatsuya Hayasaka, Kazuki Kurihara
Publikováno v: Journal of Intensive Care
Journal of Intensive Care, Vol 9, Iss 1, Pp 1-14 (2021)
Background Tracheal intubation is the gold standard for securing the airway, and it is not uncommon to encounter intubation difficulties in intensive care units and emergency rooms. Currently, there is a need for an objective measure to assess intuba
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08779ce5e3acadc4d36388a69e6fa275
https://doi.org/10.1186/s40560-021-00551-x
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