著者
Yuta Minoshima Yukihide Nishimura Hiroyuki Tsuboi Hideyuki Sato Takahiro Ogawa Yoshi-ichiro Kamijo Yuichi Umezu Fumihiro Tajima
出版者
The Japanese Association of Rehabilitation Medicine
雑誌
Progress in Rehabilitation Medicine (ISSN:24321354)
巻号頁・発行日
vol.7, pp.20220051, 2022 (Released:2022-09-17)
参考文献数
47
被引用文献数
1

Objectives: With a relatively high percentage of type I fibers in the vastus medialis (VM), its fatigability may be more sensitive to the effects of muscle activity in the quadriceps. However, sex-related differences in the muscle fatigability of the VM remain unknown. The purpose of the present study was to assess the differences in fatigability of the VM between healthy adult men and women.Methods: Surface electromyographic (EMG) activities of VM oblique (VMO) and VM long (VML) were recorded during sustained isometric contraction on a leg press machine. The results of EMG power spectral analysis were compared between healthy adult men and women. The decline in the median frequency (MF), defined as MF slope, was calculated using spectrum analysis after fast Fourier transform of the raw EMG signals of VMO and VML.Results: The endurance time and the MF slopes of the VMO and VML were significantly longer and lower, respectively, in women than in men. The present results demonstrated that both VMO and VML are more fatigue-resistant in women than in men.Conclusions: Understanding the sex differences in fatigability could help to design more effective exercise regimens for VMO and VML in healthy individuals. A similar approach should be considered when prescribing practical exercise regimens for patients with muscle atrophy.
著者
Tomoki Haruyama Sho Takahashi Takahiro Ogawa Miki Haseyama
出版者
The Institute of Image Information and Television Engineers
雑誌
ITE Transactions on Media Technology and Applications (ISSN:21867364)
巻号頁・発行日
vol.8, no.2, pp.89-99, 2020 (Released:2020-04-01)
参考文献数
41

The details of the matches of soccer can be estimated from visual and audio sequences, and they correspond to the occurrence of important scenes. Therefore, the use of these sequences is suitable for important scene detection. In this paper, a new multimodal method for important scene detection from visual and audio sequences in far-view soccer videos based on a single deep neural architecture is presented. A unique point of our method is that multiple classifiers can be realized by a single deep neural architecture that includes a Convolutional Neural Network-based feature extractor and a Support Vector Machine-based classifier. This approach provides a solution to the problem of not being able to simultaneously optimize different multiple deep neural architectures from a small amount of training data. Then we monitor confidence measures output from this architecture for the multimodal data and enable their integration to obtain the final classification result.
著者
Ryo Shiraishi Keisuke Sato Nobumasa Chijiiwa Takahiro Ogawa
出版者
The Japanese Association of Rehabilitation Medicine
雑誌
Progress in Rehabilitation Medicine (ISSN:24321354)
巻号頁・発行日
vol.8, pp.20230036, 2023 (Released:2023-10-17)
参考文献数
33

Objectives: This study aimed to investigate the relationship between trunk muscle mass index (TMI), appendicular skeletal muscle mass index (ASMI), and walking independence in patients aged 65 years and older undergoing rehabilitation for hip fracture.Methods: This retrospective, observational study was conducted in a convalescent rehabilitation ward and included 314 patients (aged ≥65 years) with hip fracture. The patients were classified into the independence group [functional independence measure (FIM)-walk score ≥6] or the non-independence group (FIM-walk score ≤5) according to the mobility item score among the motor FIM items at the time of discharge. Age, sex, TMI, ASMI, and Mini Nutritional Assessment-Short Form (MNA-SF) data were also extracted. Between-group and multivariate analyses were performed to evaluate the factors associated with walking independence.Results: The independence group had higher TMI (males: 6.6±0.9 vs. 5.6±1.0 kg/m2, P <0.001; females: 6.1±0.8 vs. 5.7±1.0 kg/m2, P <0.001), ASMI (males: 6.7±1.1 vs. 5.9±1.3 kg/m2, P=0.004; females: 5.3±0.9 vs. 4.7±0.8 kg/m2, P <0.001), MMSE-J (21.5±4.9 vs. 16.4±4.5 points, P <0.001), and MNA-SF [median (interquartile range): 8 (6–9) vs. 7 (5–8) points, P <0.001] than the non-independence group. Multivariate analysis showed that TMI at admission was significantly associated with walking independence (odds ratio: 1.86, 95% confidence interval: 1.28–2.72, P <0.001).Conclusions: This study suggests that a higher TMI at admission was important for acquiring walking independence in patients with hip fracture and shows the importance of early evaluation of TMI during hospitalization of patients with hip fracture.
著者
Takahisa Okubo Naoki Tsukimura Takashi Taniyama Manabu Ishijima Kourosh Nakhaei Naser M. Rezaei Makoto Hirota Wonhee Park Daisuke Akita Atsushi Tateno Tomohiko Ishigami Takahiro Ogawa
出版者
Nihon University School of Dentistry
雑誌
Journal of Oral Science (ISSN:13434934)
巻号頁・発行日
vol.60, no.4, pp.567-573, 2018 (Released:2018-12-27)
参考文献数
23
被引用文献数
9

Titanium mesh plate (Ti mesh) used for bone augmentation inadvertently comes into contact with medical gloves during trimming and bending. We tested the hypotheses that glove contact degrades the biological capability of Ti mesh and that ultraviolet treatment (UV) can restore this capability. Three groups of Ti mesh specimens were prepared: as-received (AR), after glove contact (GC), and after glove contact followed by UV treatment. The AR and GC meshes were hydrophobic, but GC mesh was more hydrophobic. AR and GC meshes had significant amounts of surface carbon, and Si content was higher for GC mesh than for AR mesh. UV mesh was hydrophilic, and carbon and silicon content values were significantly lower in this group than in the AR and GC groups. The number, alkaline phosphatase activity, and mineralization ability of attached osteoblasts were significantly lower in the GC group than in the AR group and markedly higher in the UV group than in the AR group. In conclusion, glove contact caused chemical contamination of Ti mesh, which significantly reduced its bioactivity. UV treatment restored bioactivity in contaminated Ti mesh, which outperformed even the baseline Ti mesh.
著者
Tetsuo Ohyama Hiroyasu Yasuda Norio Shibuya Satomi Tadokoro Shinya Nakabayashi Shunsuke Namaki Yaeko Hara Takahiro Ogawa Tomohiko Ishigami
出版者
日本大学歯学部
雑誌
Journal of Oral Science (ISSN:13434934)
巻号頁・発行日
vol.59, no.2, pp.273-278, 2017 (Released:2017-06-22)
参考文献数
24
被引用文献数
14

Previous finite element analyses of peri-implant stress assumed a bone-implant contact (BIC) ratio of 100%, even though the BIC ratio is known to be approximately 50% or less. However, the recent development of ultraviolet treatment of titanium immediately before use, known as photofunctionalization, significantly increased the BIC ratio, to 98.2%. We used a unique finite element analysis model that enabled us to examine the effects of different BIC ratios on peri-implant stress. A three-dimensional model was constructed under conditions of vertical or oblique loading, an implant diameter of 3.3, 3.75, or 5.0 mm, and a BIC ratio of 53.0% or 98.2%. Photofunctionalization and larger implant diameters were associated with reduced stress on surrounding tissues. Under vertical loading, photofunctionalization had a greater effect than increased implant diameter on stress reduction. Under oblique loading, increased implant diameter had a greater effect than photofunctionalization on stress reduction.
著者
Katsuki Kobayashi Takahiro Ogawa Miki Haseyama
出版者
映像情報メディア学会
雑誌
ITE Transactions on Media Technology and Applications (ISSN:21867364)
巻号頁・発行日
vol.1, no.4, pp.333-342, 2013 (Released:2013-10-01)
参考文献数
24
被引用文献数
5

This paper presents a new evaluation criterion for visualization of image search results based on the feature integration theory. This criterion is derived by combining two elements, visual saliency on visualization and grouping degree of similar images. Visual saliency, which is calculated from the feature integration theory, on visualization of image search results enables representation of users' attention, which is closely related to the effectiveness of finding images. Furthermore, since users perceive similar images that are close to each other as one group, grouping degree of similar images enables evaluation of the effectiveness when users find images similar to a desired image. Therefore, by combining visual saliency on visualization and grouping degree of similar images, we can derive the novel criterion and evaluate the effectiveness of visualization of image search results.
著者
Soh Yoshida Hiroshi Okada Takahiro Ogawa Miki Haseyama
出版者
映像情報メディア学会
雑誌
ITE Transactions on Media Technology and Applications (ISSN:21867364)
巻号頁・発行日
vol.1, no.3, pp.237-243, 2013 (Released:2013-07-01)
参考文献数
19

This paper presents a new method to improve performance of SVM-based classification, which contains a target object detection scheme. The proposed method tries to detect target objects from training images and improve the performance of the image classification by calculating the hyperplane from the detection results. Specifically, the proposed method calculates a Support Vector Machine (SVM) hyperplane, and detects rectangular areas surrounding the target objects based on the distances between their feature vectors and the separating hyperplane in the feature space. Then modification of feature vectors becomes feasible by removing features that exist only in background areas. Furthermore, a new hyperplane is calculated by using the modified feature vectors. Since the removed features are not part of the target object, they are not relevant to the learning process. Therefore, their removal can improve the performance of the image classification. Experimental results obtained by applying the proposed methods to several existing SVM-based classification method show its effectiveness.
著者
Miki Haseyama Takahiro Ogawa Nobuyuki Yagi
出版者
映像情報メディア学会
雑誌
ITE Transactions on Media Technology and Applications (ISSN:21867364)
巻号頁・発行日
vol.1, no.1, pp.2-9, 2013 (Released:2013-01-01)
参考文献数
82
被引用文献数
4 28

Research trends in new video retrieval based on image and video semantic understanding are presented in this paper. First, recent studies related to image and video semantic analysis are introduced to understand leading-edge multimedia retrieval technologies. Several works related to visualization interfaces for multimedia retrieval are also presented. Finally, trends in state-of-the-art studies and the future outlook are described.
著者
Marie KATSURAI Takahiro OGAWA Miki HASEYAMA
出版者
一般社団法人 電子情報通信学会
雑誌
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (ISSN:09168508)
巻号頁・発行日
vol.E95.A, no.5, pp.927-937, 2012-05-01 (Released:2012-05-01)
参考文献数
37
被引用文献数
1

In this paper, a novel framework for extracting visual feature-based keyword relationships from an image database is proposed. From the characteristic that a set of relevant keywords tends to have common visual features, the keyword relationships in a target image database are extracted by using the following two steps. First, the relationship between each keyword and its corresponding visual features is modeled by using a classifier. This step enables detection of visual features related to each keyword. In the second step, the keyword relationships are extracted from the obtained results. Specifically, in order to measure the relevance between two keywords, the proposed method removes visual features related to one keyword from training images and monitors the performance of the classifier obtained for the other keyword. This measurement is the biggest difference from other conventional methods that focus on only keyword co-occurrences or visual similarities. Results of experiments conducted using an image database showed the effectiveness of the proposed method.
著者
Marie KATSURAI Takahiro OGAWA Miki HASEYAMA
出版者
The Institute of Electronics, Information and Communication Engineers
雑誌
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences (ISSN:09168508)
巻号頁・発行日
vol.E95-A, no.5, pp.927-937, 2012-05-01

In this paper, a novel framework for extracting visual feature-based keyword relationships from an image database is proposed. From the characteristic that a set of relevant keywords tends to have common visual features, the keyword relationships in a target image database are extracted by using the following two steps. First, the relationship between each keyword and its corresponding visual features is modeled by using a classifier. This step enables detection of visual features related to each keyword. In the second step, the keyword relationships are extracted from the obtained results. Specifically, in order to measure the relevance between two keywords, the proposed method removes visual features related to one keyword from training images and monitors the performance of the classifier obtained for the other keyword. This measurement is the biggest difference from other conventional methods that focus on only keyword co-occurrences or visual similarities. Results of experiments conducted using an image database showed the effectiveness of the proposed method.