研究者詳細 - 和田　親宗

論文 - 和田　親宗

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The Association of Falls with Instability: An Analysis of Perceptions and Expectations toward the Use of Fall Detection Devices Among Older Adults in Malaysia 査読有り

Abdul Rahman K., Ahmad S.A., Che Soh A., Ashari A., Wada C., Gopalai A.A.

Frontiers in Public Health 9 2021年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

Background: Falls are a significant incident among older adults affecting one in every three individuals aged 65 and over. Fall risk increases with age and other factors, namely instability. Recent studies on the use of fall detection devices in the Malaysian community are scarce, despite the necessity to use them. Therefore, this study aimed to investigate the association between the prevalence of falls with instability. This study also presents a survey that explores older adults' perceptions and expectations toward fall detection devices. Methods: A cross-sectional survey was conducted involving 336 community-dwelling older adults aged 50 years and older; based on randomly selected participants. Data were analyzed using quantitative descriptive analysis. Chi-square test was conducted to investigate the associations between self-reported falls with instability, demographic and walking characteristics. Additionally, older adults' perceptions and expectations concerning the use of fall detection devices in their daily lives were explored. Results: The prevalence of falls was 28.9%, where one-quarter of older adults fell at least once in the past 6 months. Participants aged 70 years and older have a higher fall percentage than other groups. The prevalence of falls was significantly associated with instability, age, and walking characteristics. Around 70% of the participants reported having instability issues, of which over half of them fell at least once within 6 months. Almost 65% of the participants have a definite interest in using a fall detection device. Survey results revealed that the most expected features for a fall detection device include: user-friendly, followed by affordably priced, and accurate. Conclusions: The prevalence of falls in community-dwelling older adults is significantly associated with instability. Positive perceptions and informative expectations will be used to develop an enhanced fall detection incorporating balance monitoring system. Our findings demonstrate the need to extend the fall detection device features aiming for fall prevention intervention.

DOI： 10.3389/fpubh.2021.612538

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85101917742&origin=inward

立ち上がり動作における軟性膝装具の装着圧力の時間的変化査読有り

山本裕晃, 岡松将吾, 北川広大, 和田親宗

理学療法科学 ( 理学療法科学学会 ) 36 ( 6 ) 859 - 863 2021年01月

担当区分：最終著者記述言語：英語掲載種別：研究論文（学術雑誌）

<p>〔目的〕軟性膝装具の装着圧力は，動作時に変化せず固定が不十分となるため，動作時に常に固定が得られるように，動的に装着圧力が変化する軟性膝装具が必要となる．本研究はそのような装具開発の基礎研究として，立ち上がり動作時の装着圧力の時間的変化を調べた．〔対象と方法〕対象は，健常若年男性18名とした．異なる装着圧力の軟性膝装具を使用した場合の立ち上がり動作時の装着圧力の時間的変化を調べた．〔結果〕立ち上がり動作の各相における装着圧力の変化において有意差が認められ，殿部離床時に装着圧力が最も大きくなった．また，膝関節屈曲角度に応じて装着圧力が高くなる傾向があった．〔結論〕立ち上がり動作時の軟性膝装具の装着圧力の変化および指標が確認できた．今後は，動的に装着圧力が変化する軟性膝装具の開発を進めていく．</p>

DOI： 10.1589/rika.36.859

Scopus

CiNii Article

CiNii Research

その他リンク： https://www.jstage.jst.go.jp/article/rika/36/6/36_859/_pdf

理学療法学科1年次生が装具に対して抱くイメージ

山本裕晃, 北川広大, 和田親宗

理学療法学Supplement ( 公益社団法人日本理学療法士協会 ) 48S1 ( 0 ) B-225_1 - B-225_1 2021年01月

Comparison of Predictors to Estimate Lumbar Muscle Activity using a Single Inertial Sensor during Patient Handling 査読有り国際誌

Kitagawa K., Nagasaki T., Nakano S., Hida M., Okamatsu S., Wada C.

2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021 402 - 403 2021年01月

担当区分：最終著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Monitoring of lumbar muscle activity during patient handling is important for the preventing lower back pain among caregivers. Electromyography is used for the measurement of muscle activity; however, EMG has some uncomfortable. Therefore, our previous study proposed measurement method for lumbar muscle activity using wearable sensors and found that the combination of wearable sensors and machine learning can be applied to estimate muscle activity. However, optimal machine learning-based predictor has not been explored. In addition, our previous method requires multiple sensors. Thus, this study explores optimal predictors to estimate lumbar muscle activity during patient handling by a single inertial sensor. The proposed method estimates lumbar muscle activity by acceleration and angular velocity on a trunk and machine learning-based predictor. In the evaluation, five machine learning-based predictors (artificial neural network, gaussian process, k-nearest neighbor, linear regression, and support vector machine) estimated lumbar muscle activity during patient handling. Mean absolute error values of lumbar muscle activity between each predictor and EMG were obtained as actual values. Results show that the proposed method using k-nearest neighbor could estimate muscle activity with minimal error. These results suggest that the proposed method using k-nearest neighbor as an optimal predictor can measure lumbar muscle activity.

DOI： 10.1109/GCCE53005.2021.9621882

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123505938&origin=inward

Development of a Wearable Human Fall Detection System 査読有り国際誌

Azura Che Soh, Noor Ain Kamsani, Raja Mohd Kamil Raja Ahmad, Siti Anom Ahmad, Asnor Juraiza Ishak, Hafiz Rashidi Ramli Harun, Siti Khadijah Ali, Chikamune Wada

ASEAN IVO Forum 2020 Session4-1 2020年12月

Step Length Estimation Based on Arm Accelerations for Wearable Fall Prevention Systems 査読有り

Kodai Kitagawa, Yu Taguchi, Chikamune Wada, Nobuyuki Toya

International Journal of Applied Biomedical Engineering 13 ( 2 ) 29 - 35 2020年12月

Design and evaluation of upper-arm mouse using inertial sensor for human-computer interaction 査読有り

Widodo R.B., Haryasena A.B., Setiawan H., Tirma Irawan P.L., Subianto M., Wada C.

Journal of Engineering Science and Technology 15 ( 6 ) 3673 - 3690 2020年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

Pointing devices commonly used today, including the modern computer mouse, can only be operated manually. For people with physical impairments, usage can be problematic due to a limited ability to operate such devices. Therefore, this study was inspired to conduct research on designing and evaluating an appropriate mouse-substitution system for individuals who are physically impaired. The design of the system uses an inertial measurement unit (IMU) that is a fusion of a gyroscope and an accelerometer sensor in which the sensor is attached to a user's upper arm to recognise physical gestures. Any gestures performed by the upper arm are then mapped and used to manipulate mouse cursor movements on computer devices. The design of the “clicking” method uses both an electromyograph (EMG) sensor and a bend sensor. This study evaluates two input devices; one is a combination of an IMU and an EMG sensor, and the other is an input device that is a combination of an IMU and a bend sensor. Fitts' Law formula and the ISO/TS 9241-411: Ergonomics of human-system interaction standard were used to evaluate quantitative performance and level of comfort. The quantitative results show that the average throughput (TP) of the first input device (2.30 bps) differs greatly, statistically, in comparison to the second input device (1.75 bps). Similarly, the average movement time (tm) revealed that there is a statistically significant difference between the first input device (1.98 s) and the second input device (2.67 s). The qualitative results show that the comfort levels of the first input device are superior to those of the second input device. It concludes that the combination of IMU and EMG as a pointing and clicking apparatus revealed better performance than the combination of IMU and bend sensor.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097320244&origin=inward

Linear Regression Technique for Improvement of Feet Position Estimation During Standing Balance Using a Cane with Millimeter Wave Radar 査読有り国際誌

Ibai Gorordo Fernandez, Kodai Kitagawa, Kawthar Abdul Rahman, Azura Che Soh, Alpha Agape Gopalai, Siti Anom Ahmad, Chikamune Wada

Pertanika Journal of Science and Technology 28 ( S2 ) 71 - 81 2020年12月

Regression Equation between Required Force and Lumbar Load of Caregiver in Supporting Standing-up Motion via Computational Musculoskeletal Simulation 査読有り国際誌

Kodai Kitagawa, Yoshiki Nishisako, Takayuki Nagasaki, Sota Nakano, Mitsumasa Hida, Shogo Okamatsu, Chikamune Wada

Pertanika Journal of Science and Technology 28 ( S2 ) 59 - 70 2020年12月

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

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