Assistive Technology and Biomechatronics Engineering / / edited by Akira Shionoya, Kimiyasu Kiyota, Mitsuteru Inoue.

• TeilnehmendeR: Shionoya, Akira,; Kiyota, Kimiyasu,; Inoue, Mitsuteru,
• Place / Publishing House: Basel, Switzerland : : MDPI - Multidisciplinary Digital Publishing Institute,, [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (174 pages)

This Special Issue will focus on assistive technology (AT) to address biomechanical and control of movement issues in individuals with impaired health, whether as a result of disability, disease, or injury. All over the world, technologies are developed that make human life richer and more comfortable. However, there are people who are not able to benefit from these technologies. Research can include development of new assistive technology to promote more effective movement, the use of existing technology to assess and treat movement disorders, the use and effectiveness of virtual rehabilitation, or theoretical issues, such as modeling, which underlie the biomechanics or motor control of movement disorders. This Special Issue will also cover Internet of Things (IoT) sensing technology and nursing care robot applications that can be applied to new assistive technologies. IoT includes data, more specifically gathering them efficiently and using them to enable intelligence, control, and new applications.

Table of Contents

About the Editors vii -- Preface to "Assistive Technology and Biomechatronics Engineering" . ix -- Ryoichi Nakagawa, Kai Saito, Hideyuki Kanematsu, Hidekazu Miura, Masatou Ishihara and Dana M. Barry et al. Impedance Characteristics of Monolayer and Bilayer Graphene Films with Biofilm Formation and Growth Reprinted from: Sensors 2022, 22, 3548, doi:10.3390/s22093548 1 -- Yoshihiro Mitani, Robert B. Fisher, Yusuke Fujita, Yoshihiko Hamamoto and Isao Sakaida Image Correction Methods for Regions of Interest in Liver Cirrhosis Classification on CNNs Reprinted from: Sensors 2022, 22, 3378, doi:10.3390/s22093378 13 -- Satoshi Ohashi, Akira Shionoya, Keiu Harada, Masahito Nagamori and Hisashi Uchiyama Posture Estimation Using Surface Electromyography during Wheelchair Hand-Rim Operations Reprinted from: Sensors 2022, 22, 3296, doi:10.3390/s22093296 27 -- Jin Akaishi, Masaki Sakata, Jouichiro Yoshinaga, Mitsutaka Nakano, Kazuhiro Koshi and Kimiyasu Kiyota Estimating the Emotional Information in Japanese Songs Using Search Engines Reprinted from: Sensors 2022, 22, 1800, doi:10.3390/s22051800 45 -- Renon Doine and Takanori Sakamaki Human Standing Posture Motion Evaluation by the Visual Simulation of Multi-Directional Sea-Waves Reprinted from: Sensors 2022, 22, 5884, doi:10.3390/s22155884 57 -- Takenori Aida, Akira Shionoya, Hirofumi Nonaka, Kouji Hayami, Hisashi Uchiyama and Masahiro Nagamori et al. Exploration of an Inflection Point of Ventilation Parameters with Anaerobic Threshold Using Strucchange Reprinted from: Sensors 2022, 22, 2682, doi:10.3390/s22072682 71 -- Chisato Ohashi, Shunsuke Akiguchi and Mineko Ohira Development of a Remote Health Monitoring System to Prevent Frailty in Elderly Home-Care Patients with COPD Reprinted from: Sensors 2022, 22, 2670, doi:10.3390/s22072670 85 -- Shimpei Aihara, Ryusei Shibata, Ryosuke Mizukami, Takara Sakai and Akira Shionoya Deep Learning-Based Myoelectric Potential Estimation Method for Wheelchair Operation Reprinted from: Sensors 2022, 22, 1615, doi:10.3390/s22041615 99 -- Ryu Nakabayashi and Masanori Eguchi Evaluation of Isomotive Insulator-Based Dielectrophoretic Device by Measuring the Particle Velocity Reprinted from: Sensors 2022, 22, 1533, doi:10.3390/s22041533 113 -- Miyori Shirasuna Data Analysis and System Development for Medical Professionals on Sleep Apnea Syndrome and Orthostatic Dysregulation by Processing-Healthcare Professionals and Patients Reprinted from: Sensors 2022, 22, 1254, doi:10.3390/s22031254 127 -- Kimiyasu Kiyota, Takaaki Ishibashi, Manabu Shimakawa and Kazuyuki Ito Effects of Social Implementation Education for Assistive Device Engineers at NIT (KOSEN) through the Development of a Digital Reading Device for the Visually Impaired Reprinted from: Sensors 2022, 22, 1047, doi:10.3390/s22031047 139 -- Carlos Wellington P. Gon¸calves, Rog´erio A. Richa and Antonio P. L. Bo Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems Reprinted from: Sensors 2022, 22, 435, doi:10.3390/s22020435 . 153.