Anri Sugihara tomonidan Gait Analysis Robot Yurish Tahlili Tizimi

Anri Sugihara tomonidan yaratilgan Gait Analysis Robot Yurish Tahlili Tizimi — Tibbiy Qurilmalar va Tibbiy Uskunalar Dizayni tanlov toifasida nufuzli 2021 A' Design Award Oltin Mukofoti mukofotining yuqori baholangan g'olibidir.

OltinTibbiy Mahsulot· 2021

Gait Analysis Robot Yurish Tahlili Tizimi

muallif: Anri Sugihara

Mijoz: RDS Co., Ltd.

Tibbiy Mahsulot toifasida A' Design Award Oltin Mukofoti g'olibi

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A' Design Award saytida ko'rish Press-reliz Mukofot nishoni

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Dizayn

Gait Analysis Robot Yurish Tahlili Tizimi haqida

Yurish Tahlili Roboti — yurish harakatini tahlil qilish uchun mo'ljallangan tibbiy o'lchov tizimidir. Robot uch o'lchamli kameralar bilan jihozlangan bo'lib, tekshirilayotgan shaxsni belgilangan masofada kuzatib boradi. Tekshirilayotgan shaxs kasalxona yo'lagi kabi o'n metrlik tekis to'g'ri chiziq bo'ylab u yoqdan-bu yoqqa yuradi. Yozib olingan ma'lumotlar bulutli serverga yuboriladi va u yerda tahlil qilinadi. Aniqlik darajasi ilmiy-tadqiqot institutlarida qo'llaniladigan optik harakat tahlili tizimlariga tenglashadi. Maqsad — yurish tahlilini past narxda keng ommaga taqdim etish hamda kasalliklarni erta aniqlash, reabilitatsiya va sog'liqni saqlashni qo'llab-quvvatlashdir.

Tan olinish

A' Design Award Oltin Mukofoti haqida

Gait Analysis Robot Yurish Tahlili Tizimi A' Design Award Oltin Mukofotining g‘olibi bo‘lib, bu birinchi darajali, ajoyib va ajralib turuvchi dizaynlarga beriladigan o‘ta nufuzli e’tirofdir. Oltin g‘oliblari o‘z dizaynerlarining daholigi, donoligi va mahoratini aks ettiruvchi benihoya innovatsion, uzoqni ko‘ra oladigan va ko‘zni qamashtiruvchi ijodlardir. Gait Analysis Robot Yurish Tahlili Tizimi misli ko‘rilmagan qiymat keltiruvchi, juda maqtalgan, yo‘nalish belgilovchi va yodgorlik darajasidagi ixtiro bo‘lishi kutiladi. A' Design Award Oltin Mukofotini qo‘lga kiritgan ushbu dizayn san’at, fan, dizayn va texnologiya chegaralarini katta foyda bilan kengaytiruvchi ko‘zni qamashtiruvchi, e’zozlangan loyihadir. Gait Analysis Robot Yurish Tahlili Tizimi kuchli istak tuyg‘ularini yaratadi, ishtiyoqni uyg‘otadi, ijodkorlikni rag‘batlantiradi va bizni maftun etadi.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: The robot track a subject and send walking analysis data to cloud database, enables measurement of even more items than before, and develops services as big data useful for medical care, rehabilitation, health maintenance and etc. It will be able to help early detection and prevention of diseases. It's a project that developing a system include the robot to perform accurate walking motion analysis widely and inexpensively, which could only be done with an expensive motion capture system.
Teglar: Medical, Walking, Motion Analysis, Gait Analysis, Robot, Hospital, Diagnosis
Ishlab chiqarish texnologiyasi: This project has been advanced independent from the study and development of the measurement system, and is a collaborative project with the National Rehabilitation Center for Persons with Disabilities Research Institute in Japan. 3D cameras are mounted on a robot tracks a subject at a fixed distance, and it is possible to accurately measure the walking motion of a subject with the same accuracy as an optical motion analysis system in limited facilities such as research institutes.
Ilhom: In medical research, it is known walking movements characteristic of patients appear due to various diseases. It has potential to be used for early detection and prevention of diseases and for rehabilitation as new diagnostic means. If accurate motion analysis can be realized at low cost for wide range of items, it will be help for various purposes as a highly reliable medical database and possible to extend healthy life expectancy and greatly contribute to the world-wide super-aging society.
Loyiha muddati: since October 2019 in Japan and keep on going.
Ish jarayoni: To record walking movements, the subject only needs to walk back and forth on a flat straight line of 10 m, such as in a corridor in hospitals, and the recorded data is analyzed on a cloud server.
It based on the elements derived by machine learning from the accumulated walking data of all disease patients. The project planed to provide through web services for early detection and prevention of diseases, for diagnosis and medical purposes in hospitals and for general health promotion purposes.
Jamoa a'zolari: RDS Ltd., Co., exiii design Inc. Yoshihiro Hirata R2, MAGNET Inc., makesense Inc. and quod, LLC , the National Rehabilitation Center for Persons with Disabilities Research Institute in Japan
Rasm mualliflari: RDS Co., Ltd.