担当区分：責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Scientific Reports  

The purpose of this study was to develop and evaluate a novel elbow arthroscopy system with superimposed bone and nerve visualization using preoperative computed tomography (CT) and magnetic resonance imaging (MRI) data. We obtained bone and nerve segmentation data by CT and MRI, respectively, of the elbow of a healthy human volunteer and cadaveric Japanese monkey. A life size 3-dimensional (3D) model of human organs and frame was constructed using a stereo-lithographic 3D printer. Elbow arthroscopy was performed using the elbow of a cadaveric Japanese monkey. The augmented reality (AR) range of error during rotation of arthroscopy was examined at 20 mm scope–object distances. We successfully performed AR arthroscopy using the life-size 3D elbow model and the elbow of the cadaveric Japanese monkey by making anteromedial and posterior portals. The target registration error was 1.63 ± 0.49 mm (range 1–2.7 mm) with respect to the rotation angle of the lens cylinder from 40° to − 40°. We attained reasonable accuracy and demonstrated the operation of the designed system. Given the multiple applications of AR-enhanced arthroscopic visualization, it has the potential to be a next-generation technology for arthroscopy. This technique will contribute to the reduction of serious complications associated with elbow arthroscopy.

DOI： 10.1038/s41598-021-84062-7

Web of Science

Scopus

PubMed

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1183/13993003.congress-2020.808

Web of Science

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Frontiers in Neurorobotics  

Background: For mechanically reconstructing human biomechanical function, intuitive proportional control, and robustness to unexpected situations are required. Particularly, creating a functional hand prosthesis is a typical challenge in the reconstruction of lost biomechanical function. Nevertheless, currently available control algorithms are in the development phase. The most advanced algorithms for controlling multifunctional prosthesis are machine learning and pattern recognition of myoelectric signals. Despite the increase in computational speed, these methods cannot avoid the requirement of user consciousness and classified separation errors. “Tacit Learning System” is a simple but novel adaptive control strategy that can self-adapt its posture to environment changes. We introduced the strategy in the prosthesis rotation control to achieve compensatory reduction, as well as evaluated the system and its effects on the user. Methods: We conducted a non-randomized study involving eight prosthesis users to perform a bar relocation task with/without Tacit Learning System support. Hand piece and body motions were recorded continuously with goniometers, videos, and a motion-capture system. Findings: Reduction in the participants’ upper extremity rotatory compensation motion was monitored during the relocation task in all participants. The estimated profile of total body energy consumption improved in five out of six participants. Interpretation: Our system rapidly accomplished nearly natural motion without unexpected errors. The Tacit Learning System not only adapts human motions but also enhances the human ability to adapt to the system quickly, while the system amplifies compensation generated by the residual limb. The concept can be extended to various situations for reconstructing lost functions that can be compensated.

DOI： 10.3389/fnbot.2016.00019

Web of Science

Scopus

PubMed

担当区分：責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Scientific Reports  

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

DOI： 10.1038/s41598-021-90073-1

Scopus

PubMed

その他リンク： http://www.nature.com/articles/s41598-021-84062-7

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

Web of Science

記述言語：日本語

総ページ数：469p   記述言語：日本語

CiNii Books

記述言語：日本語

We developed a myoelectric hand prosthesis equipped with the tacit learning system (TLS) to auto-regulate forearm rotation in response to upper extremity movement patterns. We evaluated the tacit learning effects on the central nervous system during a prosthesis control exercise. The experienced prosthetic user performed a series of simple mechanical tasks with the system inactivated (the baseline, normal condition) and then with it activated (the enhanced, experimental condition). The process was video recorded. Video 1 documents the ordinary TLS-inactive condition while Video 2 documents the TLS-active condition. Subsequently, the participant viewed each video under experimental conditions during magnetoencephalography and electroencephalography recording. The connections between the motor area and the other cortical areas were observed with a significant increase in the coherence value. Results suggest integration and interoperability as the process undergirding tacit learning promotes motor function related adaptive neuroplasticity.

DOI： 10.1007/978-3-030-01845-0_49

Scopus

記述言語：日本語   出版者・発行元：日本肘関節学会  

記述言語：日本語   出版者・発行元：(一社)日本マイクロサージャリー学会  

記述言語：日本語   出版者・発行元：東海整形外科外傷研究会  

大腿骨インプラント周囲骨折に対しLCP cable systemによる観血的骨接合術を行った5例の治療成績について検討した。男性1例、女性4例で、平均年齢は71.2歳、術後経過観察期間は平均14ヵ月であった。使用プレートはLCP curved broadプレートが2例、LCP Distal Femurプレート(LCP-DF)が3例、LCP broadプレートが1例であった。その結果、4例は良好な骨癒合が得られた。一方、LCP-DFを用いた1例は免荷が守れずワイヤーの断裂によりプレートが脱転し、偽関節となった。

記述言語：日本語   出版者・発行元：(一社)日本骨折治療学会  

対象： 研究者,　企業,　行政機関

種別：セミナー・ワークショップ