研究者詳細 - 和田　親宗

論文 - 和田　親宗

分割表示392 件中 101 - 120 件目／全件表示 >>

A Pilot Study on Abnormal Gait Detector using an Inertial Sensor for Fall Prevention System 査読有り国際誌

Go Eto, Ibai Gorordo Fernandez, Kodai Kitagawa, Siti Anom Ahmad, Chikamune Wada

8th International Symposium on Applied Engineering and Sciences E-P2-01 2020年12月

Improving Fall Detection Device using Quality Function Deployment: Development of a Fall Prevention Device 査読有り国際誌

Kawthar Abdul Rahman, Siti Anom Ahmad, Chikamune Wada

8th International Symposium on Applied Engineering and Sciences M-05-07 2020年12月

Relationship between toe contact timing and motor function of the elderly people 査読有り国際誌

Shogo Okamatsu, Kazuaki Tsuji, Kodai Kitagawa, Ibai Gorordo Fernandez, Mitsumasa Hida, Chikamune Wada

8th International Symposium on Applied Engineering and Sciences E-P4-11 2020年12月

Blood flow volume estimation of dialysis patients using body sound sensor and machine learning 査読有り国際誌

Takeshi Joyashiki, Chikamune Wada

8th International Symposium on Applied Engineering and Sciences E-P4-08 2020年12月

A pilot study to investigate the effects of cane length on gait stability 査読有り国際誌

Supanat Sakunwitunthai, Kodai Kitagawa, Ibai Gorordo Fernandez, Siti Anom Ahmad, Chikamune Wada,

8th International Symposium on Applied Engineering and Sciences E-P４-01 2020年12月

Fundamental Study on Prediction Method for Muscle Activity of Caregivers using Inertial Sensor 査読有り国際誌

Kodai Kitagawa, Koji Matsumoto, Kensuke Iwanaga, Siti Anom Ahmad, Takayuki Nagasaki, Sota Nakano, Mitsumasa Hida, Shogo Okamatsu, Chikamune Wada

8th International Symposium on Applied Engineering and Sciences E-P3-01 2020年12月

Estimation of Brachial Artery Vascular Resistance Index in Dialysis Patients via Vascular Access Using Body-conducted Sound Sensor (BCS) and Neural Network 査読有り国際誌

Takeshi Joyashiki, Chikamune Wada

14th International collaboration Symposium on Information, Production and Systems D1-5 2020年11月

The Relationship between Crutch Length and Shoulder Load during Double-Crutch Walking 査読有り国際誌

Atsushi Tamura, Yoshiki Nishisako, Kodai Kitagawa,Takayuki Nagasaki, Shogo Okamatsu, Chikamune Wada

4th Global Conference on Biomedical Engineering 260167 2020年11月

Real-time Camera Viewpoint Identification for Assistive System to Bus-waiting Visually Impaired 査読有り国際誌

Hiroki Sugino, Watcharin Tangsuksant, Ibai Gorordo Fernandez, Kodai Kitagawa, Chikamune Wada

4th Global Conference on Biomedical Engineering 260162 2020年11月

Automatic Identification Method of Patient Handling Motion using a Single Inertial Measurement Unit and Machine Learning 査読有り国際誌

Kensuke Iwanaga, Kodai Kitagawa, Chikamune Wada

4th Global Conference on Biomedical Engineering 260100 2020年11月

Relationship between Lumbar Load and Initial Trunk Posture during Postural Change for a Patient on a Bed 査読有り国際誌

Kodai Kitagawa, Koji Matsumoto, Siti Anom Ahmad, Takayuki Nagasaki, Sota Nakano, Mitsumasa Hida, Shogo Okamatsu, Chikamune Wada

4th Global Conference on Biomedical Engineering 260050 2020年11月

Walking Guidance System on Crosswalks for the Visually Impaired 査読有り国際誌

Karin Kanemura, Yasuhiro Wada, Tibyani Tibyani, Randy Cahya Wihandika, Chikamune Wada

4th Global Conference on Biomedical Engineering 260269 2020年11月

The Effect of Knee Brace on Sense of Position of Knee Joint－Analysis Focusing on The Mounting Pressure of The Brace－査読有り国際誌

Hiroaki Yamamoto, Chikamune Wada

4th Global Conference on Biomedical Engineering 260017 2020年11月

Measurement of thoracic kyphosis using the cranio-horizontal angle in the supine position 査読有り国際誌

Mitsumasa Hida, Chikamune Wada, Kodai Kitagawa, Shogo Okamatsu, Masakazu Imaoka, Hidetoshi Nakao, Ryota Imai, Tadasuke Ohnishi, Katsumi Hamaoka

Asian Confederation for Physical Therapy Congress 2020 S20200622054953T21B10A 2020年10月

Posture recognition method for caregivers during postural change of a patient on a bed using wearable sensors 査読有り国際誌

Kitagawa K., Matsumoto K., Iwanaga K., Ahmad S.A., Nagasaki T., Nakano S., Hida M., Okamatsu S., Wada C.

Advances in Science, Technology and Engineering Systems 5 ( 5 ) 1093 - 1098 2020年10月

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）

Caregivers experience lower back pain due to their awkward postures while handling patients. Therefore, a monitoring system to supervise caregivers’ postures using wearable sensors is being developed. This study proposed a postural recognition method for caregivers during postural change while handling a patient on a bed. The proposed method recognizes foot positions and arm movements by a machine learning algorithm using inertial data on the trunk and foot pressure data obtained from wearable sensors. An experiment was conducted to evaluate whether the proposed method could recognize three foot positions and three arm movements. Participants provided postural change for a simulated patient on a bed (patient: supine to lateral recumbent) under nine conditions, including different combinations of the three foot positions and three arm movements; the experiment was repeated ten times for each condition. Experimental results showed that the proposed method using an artificial neural network with all features obtained from an inertial measurement unit and insole pressure sensors could recognize arm movements and foot positions with an accuracy of approximately 0.75 and 0.97, respectively. These results suggest that the proposed method can be used in a monitoring system tracking a caregiver’s posture.

DOI： 10.25046/aj0505133

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096634583&origin=inward

Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation 査読有り国際誌

Fernandez I.G., Ahmad S.A., Wada C.

Sensors (Switzerland) 20 ( 17 ) 1 - 19 2020年09月

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）

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Falls are among the main causes of injuries in elderly individuals. Balance and mobility impairment are major indicators of fall risk in this group. The objective of this research was to develop a fall risk feedback system that operates in real time using an inertial sensor-based instrumented cane. Based on inertial sensor data, the proposed system estimates the kinematics (contact phase and orientation) of the cane. First, the contact phase of the cane was estimated by a convolutional neural network. Next, various algorithms for the cane orientation estimation were compared and validated using an optical motion capture system. The proposed cane contact phase prediction model achieved higher accuracy than the previous models. In the cane orientation estimation, the Madgwick filter yielded the best results overall. Finally, the proposed system was able to estimate both the contact phase and orientation in real time in a single-board computer.

DOI： 10.3390/s20174675

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089517906&origin=inward

Millimeter Wave Radar Simulation for Human Balance Assessment Applications 査読有り

Ibai Gorordo Fernandez, Siti Anom Ahmad, Chikamune Wada

Proceedings of the SICE Annual Conference 2020 912 - 915 2020年09月

3d printed robot hand structure using four-bar linkage mechanism for prosthetic application 査読有り国際誌

Wahit M.A.A., Ahmad S.A., Marhaban M.H., Wada C., Izhar L.I.

Sensors (Switzerland) 20 ( 15 ) 1 - 22 2020年08月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Trans-radial prosthesis is a wearable device that intends to help amputees under the elbow to replace the function of the missing anatomical segment that resembles an actual human hand. However, there are some challenging aspects faced mainly on the robot hand structural design itself. Improvements are needed as this is closely related to structure efficiency. This paper proposes a robot hand structure with improved features (four-bar linkage mechanism) to overcome the deficiency of using the cable-driven actuated mechanism that leads to less structure durability and inaccurate motion range. Our proposed robot hand structure also took into account the existing design problems such as bulky structure, unindividual actuated finger, incomplete fingers and a lack of finger joints compared to the actual finger in its design. This paper presents the improvements achieved by applying the proposed design such as the use of a four-bar linkage mechanism instead of using the cable-driven mechanism, the size of an average human hand, five-fingers with completed joints where each finger is moved by motor individually, joint protection using a mechanical stopper, detachable finger structure from the palm frame, a structure that has sufficient durability for everyday use and an easy to fabricate structure using 3D printing technology. The four-bar linkage mechanism is the use of the solid linkage that connects the actuator with the structure to allow the structure to move. The durability was investigated using static analysis simulation. The structural details and simulation results were validated through motion capture analysis and load test. The motion analyses towards the 3D printed robot structure show 70%–98% similar motion range capability to the designed structure in the CAD software, and it can withstand up to 1.6 kg load in the simulation and the real test. The improved robot hand structure with optimum durability for prosthetic uses was successfully developed.

DOI： 10.3390/s20154174

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088777942&origin=inward

Monitoring System for L4/L5 Compression Force during Assistive Motion using Single Inertial Measurement Unit 査読有り

Kodai Kitagawa, Ibai Gorordo Fernandez, You-Chi Li, Kuang-Ming Lin, Takayuki Nagasaki, Sota Nakano, Mitsumasa Hida, Shogo Okamatsu, Fu-Cheng Wang, Chikamune Wad

The 14th International Conference on Complex Medical Engineering Session 2-8 2020年08月

Evaluation of a Commercial Force Sensor for Real Time Applications 査読有り国際誌

Ahmed M. M. Almassri, Wan Zuha Wan Hasan, Chikamune Wada and Keiichi Horio

ICIC Express Letters, Part B: Applications 11 ( 5 ) 421 - 426 2020年05月

　前のページ - 次のページ　

<和田 親宗>

論文 - 和田 親宗

<和田　親宗>

論文 - 和田　親宗