研究者詳細 - 和田　親宗

論文 - 和田　親宗

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Modeling of the Vasorelaxation Mechanism by Acupuncture/Moxibustion Stimulation for Preventing Arteriosclerosis -Review Paper- 査読有り国際誌

Tetsuya Yoneda, Takeshi Yamakawa, Chikamune Wada

International Journal of Innovative Computing, Information and Control ( ICIC International 学会 ) 17 ( 6 ) 1989 - 2017 2021年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

Arteriosclerosis requires early detection and treatment. However, its treatment remains insufficiently established. Elucidating the mechanisms of vasorelaxation may lead to early treatment and contribute to the prevention of diseases caused by arteriosclerosis. The ability of acupuncture/moxibustion stimulation to temporarily increase vasorelaxation and vascular flow has been extensively reported, but its mechanism remains unknown. We successfully modeled the mechanism starting from acupuncture/moxibustion stimulation to vasorelaxation/vasodilation by collating the results of numerous studies in various fields, such as medicine, biology, neurosciences, and pharmacology. Ion channels, including transient receptor potential (TRP) channels, exist at free nerve endings. Acupuncture/moxibustion stimulation is sensed by its ion channels and generates nitric oxide in three subsequent pathways, which leads to vasorelaxation. The three pathways are 1) the nNOS activity pathway (based on neural information), 2) eNOS activity pathway (based on vascular wall shear stress), and 3) iNOS activity pathway (based on multiple cytokines produced by macrophages). These pathways differ depending on the external stimulus; however, in each case, they lead to vasorelaxation and contribute to arteriosclerosis prevention. These pathways can be expected to create complex circuits and produce sustained stimulation effects. This model is expected to contribute to the expansion of the research fields and improvement of treatment methods for medical professionals.

DOI： 10.24507/ijicic.17.06.1989

Scopus

CiNii Research

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Foot Clearance Prediction Using Wrist Position: A Pilot Study Via Public Dataset 査読有り国際誌

Kodai Kitagawa, Chikamune Wada, Nobuyuki Toya

43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society 5195 2021年11月

Suitable Combination of Bed Height and Foot Position for Turning Patient on a Bed 査読有り国際誌

Kodai Kitagawa, Kotaro Yamamoto, Chikamune Wada

43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society 5194 2021年11月

Relationship between Wearing Pressure of Flexible Knee Orthosis and Muscle Activity during Standing-up: A Pilot Study for Knee Osteoarthritis Patient 査読有り国際誌

Hiroaki Yamamoto, Shogo OKAMATSU, Kodai KITAGAWA, Chikamune WADA

The 18th International Society for Prosthetics and Orthotics 196 2021年11月

Study on Tactile Tile Detection Algorithm for Walking Guidance System on Nighttime Crosswalks 査読有り国際誌

Shinji Eto, Chikamune Wada

15th International collaboration Symposium on Information, Production and Systems (ISIPS 2021) C2-1 2021年11月

Comparison of Sensor Position for Abnormal Gait Detector using an Inertial Measurement Unit 査読有り国際誌

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

15th International collaboration Symposium on Information, Production and Systems (ISIPS 2021) D1-4 2021年11月

Evaluation of Spine Fixation via Spinal Orthosis during Picking-up Motion using Wearable Flex Sensor 査読有り国際誌

Tatsuya Onishi, Ibai Gorordo Fernandez, Kodai Kitagawa, Yuji Katae, Naoki Chijiwa, Takahito Oda, Aki Kuwazono, Hisashi Arizono, Chikamune Wada

15th International collaboration Symposium on Information, Production and Systems (ISIPS 2021) D2-2 2021年11月

Movement Guidance Device in Indoor Environment using Inertial Sensor 査読有り国際誌

Haoran Wang, Ibai Gorordo Fernandez, Kodai Kitagawa, Chikamune Wada

15th International collaboration Symposium on Information, Production and Systems (ISIPS 2021) D2-4 2021年11月

Foot position measurement during assistive motion for sit-to-stand using a single inertial sensor and shoe-type force sensors 査読有り

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

International Journal of Environmental Research and Public Health 18 ( 19 ) 2021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）

Assistive motion for sit-to-stand causes lower back pain (LBP) among caregivers. Considering previous studies that showed that foot position adjustment could reduce lumbar load during assistive motion for sit-to-stand, quantitative monitoring of and instructions on foot position could contribute toward reducing LBP among caregivers. The present study proposes and evaluates a new method for the quantitative measurement of foot position during assistive motion for sit-to-stand using a few wearable sensors that are not limited to the measurement area. The proposed method measures quantitative foot position (anteroposterior and mediolateral distance between both feet) through a machine learning technique using features obtained from only a single inertial sensor on the trunk and shoe-type force sensors. During the experiment, the accuracy of the proposed method was investigated by comparing the obtained values with those from an optical motion capture system. The results showed that the proposed method produced only minor errors (less than 6.5% of body height) when measuring foot position during assistive motion for sit-to-stand. Furthermore, Bland–Altman plots suggested no fixed errors between the proposed method and the optical motion capture system. These results suggest that the proposed method could be utilized for measuring foot position during assistive motion for sit-to-stand.

DOI： 10.3390/ijerph181910481

Scopus

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

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

2021 IEEE 10th Global Conference on Consumer Electronics 445 - 446 2021年10月

Relationship between Foot Position and Lumbar Loads while Turning Patients on a Bed: An Investigation via Computational Simulation and Electromyography 査読有り国際誌

Kitagawa K., Yamamoto K., Wada C.

International journal of online and biomedical engineering 17 ( 10 ) 131 - 143 2021年10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）

Caregivers have lower back pain (LBP) since they must reposition patients in bed frequently. Thus, the low lumbar load posture for turning patients should be explored. In this study, we focused on foot position because it can be easily adjusted to reduce back pain. The hypothesis was that short anteroposterior foot distance could reduce lumbar loads because closer position to patient made smaller moments. Therefore, this study aimed to investigate the relationship between foot position and lumbar loads while turning patients on beds. Furthermore, we compared compression stresses of L4–L5 via computational simulation and erector spinae muscle activities obtained from electromyography (EMG) in nine foot positions. The results showed that short anteroposterior foot distance reduced lumbar loads while turning a patient on a bed.

DOI： 10.3991/ijoe.v17i10.25161

Scopus

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Knee joint angle sensing in healthy young adults using flexible orthosis with different wearing pressure 査読有り国際誌

Yamamoto Hiroaki, Wada Chikamune

Journal of Physical Therapy Science ( 理学療法科学学会 ) 33 ( 7 ) 537 - 539 2021年07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）

<p> [Purpose] To investigate the effects of a flexible brace, by analyzing whether its usage; the difference in wearing pressure could change the joint position sensation in healthy participants; and develop a flexible knee brace for patients with knee osteoarthritis. [Participants and Methods] The study included eight healthy males with 14 knee joints (mean age, 22.0 ± 3.1 years). To measure joint position sense, an "angle reproduction test" was performed in three experimental conditions: 1) participants not wearing the brace, 2) the brace was secured with an appropriate force, and 3) the brace was fully secured using hook-and-loop fasteners. [Results] No significant difference was observed among groups comprising of those not wearing, those wearing with the standard force, and those wearing with the tight force. When the maximum hook-and-loop fastener was squeezed, the sensory error in joint position was maximized at both 30° and 60° flexion. [Conclusion] Joint position sense improvement was confirmed to be poor by orthosis, and an error occurred in the joint position sense by increasing the wearing pressure in orthosis. In future, measurements should be performed on patients with knee osteoarthritis who have decreased joint position sense and verify the effect of different wearing pressures verified.</p>

DOI： 10.1589/jpts.33.537

CiNii Article

CiNii Research

PubMed

その他リンク： https://ci.nii.ac.jp/naid/130008060077

Evaluation Of Wearable Flex Sensor For Spine Angle Measurement During Picking-Up Motion 査読有り国際誌

Tatsuya Onishi, Ibai Gorordo Fernandez, Kodai Kitagawa, Yuji Katae, Naoki Chijiwa, Aki Kuwazono, Hisashi Arizono, Chikamune Wada

17th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks ID736693 (1 page) 2021年07月

Estimation Technique For Vertical Ground Reaction Force Using Inertial Sensor During Nursing Activity 査読有り国際誌

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

17th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks ID733830 (1 page) 2021年07月

Measurement Method for Erector Spinae Muscle Activity during Patient Handling Using Inertial Sensor and Shoe-type Force Sensor 査読有り

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

International Journal of Electrical and Electronic Engineering and Telecommunications 10 ( 4 ) 283 - 287 2021年07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）

Because caregivers often experience lower back pain caused by lumbar load from patient handling, monitoring this load can help prevent pain. Erector spinae muscle activity, which is measured and monitored as lumbar load, is commonly measured by electromyography (EMG). However, EMG's electrodes can cause skin irritation and be uncomfortable. Therefore, measuring muscle activity without electrodes is necessary. In this study, we propose a method for estimating erector spinae muscle activity using wearable sensors, specifically inertial and shoe-type force sensors. Inertial sensors measure acceleration and angular velocity of the trunk. Shoe-type force sensors measure vertical force of the feet. A regression model obtained from a machine learning algorithm can predict erector spinae muscle activity using inertial and force data. In our experiment, we evaluated the accuracy of our method by comparing sensor data with surface EMG data in patient handling. Results show that this method can measure erector spinae muscle activity with a small error (less than 5% maximal voluntary contractions) and a significantly high correlation with actual value (r = 0.891, p <0.05). In addition, a Bland-Altman plot showed no fixed and proportional errors. These findings indicate that our proposed method can accurately monitor the lumbar loads of caregivers.

DOI： 10.18178/ijeetc.10.4.283-287

Scopus

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理学療法学科初年次学生の装具に関する認識　─計量テキスト分析による解析─ 査読有り

山本裕晃, 北川広大, 和田親宗

理学療法福岡 34 120 - 123 2021年05月

Coronal Spinal Postural Alignment Screening Tool Using Markerless Digital Photography 査読有り国際誌

Mitsumasa Hida, Ayuna Hasegawa, Sachiyo Kamitani, Yumi Kamitani, Kodai Kitagawa, Shogo Okamatsu, Seigo Minami, Tadasuke Ohnishi, Chikamune Wada

Advances in Science, Technology and Engineering Systems Journal, 6 ( 2 ) 965 - 970 2021年04月

Comparison of machine learning algorithms for patient handling recognition based on body mechanics 査読有り

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

LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies 77 - 79 2021年03月

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

Caregivers have low back pains due to patient handling. Therefore, we have been developing a monitoring system for patient handling designed to prevent low back pains. In this study, we propose a recognition method for patient handling using inertial measurement unit (IMU) and insole pressure sensor for a wearable monitoring system. Our proposed method recognizes recommended body mechanics-based patient handling by machine learning with trunk angle and ground reaction force on feet. Accuracy of the proposed method was evaluated by the experiment in a laboratory environment. Furthermore, accuracies of 7 common algorithms for machine learning are compared for consideration of the most suitable algorithm for the proposed method. Selected 7 algorithms were artificial neural network (ANN), decision tree (DT), k-nearest neighbor (KNN), logistic, random forest (RF), naive Bayes (NB), and support vector machine (SVM). The study participants were 5 young males. Each participant performed a stand assist motion with 2 conditions (natural and body mechanics) 10 trials for each condition. Accuracies were calculated by 10-fold cross validation with 100 data. The results suggested that our proposed method could recognize 2 stand assist motions with high accuracy more than 0.9 of the time in 3 machine learning algorithms. Furthermore, the best algorithm (RF) could recognize 2 stand assist motions with 0.97 accuracy. These results indicated that the proposed method could recognize patient handling motion and could be applied to a monitoring system to prevent low back pain among caregivers. In addition, this study found the best algorithm for patient handling recognition.

DOI： 10.1109/LifeTech52111.2021.9391968

Scopus

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Walking cane velocity estimation using a velocity update method 査読有り

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

LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies 249 - 252 2021年03月

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

Walking canes provide a suitable placement for inertial gait analysis systems such as gait velocity estimation. However, previous velocity estimation methods such as the Zero Velocity Update (ZUPT) method, which are designed for foot mounted inertial sensor systems, are not suitable for walking canes. In this study, we propose the use of a modified velocity update method based on the inverted pendulum model to improve the gait velocity estimation of cane users. The results showed that the proposed method resulted in lower Root Mean Square Error (RMSE) values than the ZUPT method for the estimation of the cane velocity, but the results were worse than previous foot mounted systems.

DOI： 10.1109/LifeTech52111.2021.9391813

Scopus

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理学療法学生が考える装具管理に必要な知識と技能査読有り

山本裕晃, 和田親宗

リハビリテーション教育研究 27 20 - 25 2021年03月

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