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2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)最新文献

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Effectiveness of Multi-ROI 3D-CNNs in Discrimination of Motor Imagery from Functional Brain Image 多roi 3d - cnn在区分运动图像和脑功能图像中的有效性
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8883997
Tomofumi Nakano, Shohei Kato, E. Bagarinao, Akihiro Yoshida, Mika Ueno, T. Nakai
{"title":"Effectiveness of Multi-ROI 3D-CNNs in Discrimination of Motor Imagery from Functional Brain Image","authors":"Tomofumi Nakano, Shohei Kato, E. Bagarinao, Akihiro Yoshida, Mika Ueno, T. Nakai","doi":"10.1109/LifeTech.2019.8883997","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8883997","url":null,"abstract":"Brain-machine interfaces (BMIs) generate control-commands for specific operations by discriminating signals representing brain functions. In most of current BMIs, machine learning methods are employed as classifier. Their drawback is strong dependency on the individual characteristics of the datasets for each subject. To expand usability of BMIs as more conventional tools, it is desirable that the discriminator is valid even for functional brain data obtained from arbitrary subjects who are not included in the training sample. We proposed Multi-ROI 3D-CNNs such a “generalized” discriminator to classify the motor imagery status using task based fMRI data. As the result, it was suggested that our 3D-CNNs work for unknown subjects' data and finish training faster than our previous classifier (linear Support Vector Machine) did.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132648890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection of Daily Emotions by Wearable Biometric Sensors 通过可穿戴生物传感器检测日常情绪
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8883968
E. Yuda, Tetsuya Tanabiki, Shinichiro Iwata, Katsumi Abe, J. Hayano
{"title":"Detection of Daily Emotions by Wearable Biometric Sensors","authors":"E. Yuda, Tetsuya Tanabiki, Shinichiro Iwata, Katsumi Abe, J. Hayano","doi":"10.1109/LifeTech.2019.8883968","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8883968","url":null,"abstract":"To examine the basic characteristics of pulse rate variability (PRV) during work, pulse wave signals during work hours were recorded by wristband-type wearable sensors in 8 office workers for 1–3 months together with the signals of physical activity, skin temperature, and the amount of conversation and with subjective emotions. A total of 1,544 hours of data were obtained. Pulse rate increased during physical activity and decreased during dozing. Although high frequency (HF) component of heart rate variability (HRV) is known as an index of parasympathetic function and increases during rest and sleep, HF amplitude of PRV during work increased with mild physical movement detected at the wrist and decreased during dozing. Factor analysis revealed that there were two factors, reflecting slow and fast variations, respectively, among the indices of PRV indices (the amplitude of very low, low, and HF components and their standard deviations). While factor 1 score decreased during walking and increased with mild physical movement, it also increased when subjects reported angry emotion. While factor 2 score also increased with mild physical movement, it also increased with happiness and relax compared with sad and angry emotions. This study suggests on one hand that HF amplitude of PRV at least that obtained through wristband-type sensors during work cannot be used as the indices of parasympathetic function and resting. On the other hand, PRV may provide unique information from that of HRV, i.e., HF amplitude and fast variation of PRV may reflect positive feeling for work, while an increase in slow variation of PRV may reflect their conflict and dissatisfaction during work.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116816651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Decoding Relative Pitch Imagery Using Functional Connectivity: An Electroencephalographic Study 使用功能连通性解码相对音高图像:一项脑电图研究
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8884007
Shu Sakamoto, Atsuya Kobayashi, K. Matsushita, Risa Shimizu, A. Aoyama
{"title":"Decoding Relative Pitch Imagery Using Functional Connectivity: An Electroencephalographic Study","authors":"Shu Sakamoto, Atsuya Kobayashi, K. Matsushita, Risa Shimizu, A. Aoyama","doi":"10.1109/LifeTech.2019.8884007","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8884007","url":null,"abstract":"Although decoding neural information as sound using electroencephalography is expected in many ways such as therapeutic usage and artistic expression, small number of studies involve auditory imagery itself. Here, we show that relative imagery of tones at the same pitch but with different reference tones can be decoded using connectivity measures between central and parietal electrodes. This finding indicates that top-down information flow peculiar to auditory imagery forms a broad network in the brain, which information could be useful for brain-computer interface application.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116700237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Cane with Millimeter Wave Radar for Base of Support Measurement 用毫米波雷达作为支撑测量的基础
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8884010
Ibai Gorordo Fernandez, C. Wada
{"title":"Cane with Millimeter Wave Radar for Base of Support Measurement","authors":"Ibai Gorordo Fernandez, C. Wada","doi":"10.1109/LifeTech.2019.8884010","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8884010","url":null,"abstract":"Base of Support (BoS) is a significant parameter for balance analysis. It is particularly important for people using assistive devices such as canes or walkers, because assistive devices improve the stability of the user by increasing the Base of Support. The objective of this research is to develop a wearable device that is able to analyze balance by measuring the position of the Center of Gravity (CoG) inside the Base of Support while using a cane. In this paper, we present our initial work to measure the Base of Support. We developed an instrumented cane with a millimeter wave radar in order to measure the Base of Support in real time. The point cloud data from the radar were grouped into clusters to identify the points belonging to each foot. A density-based spatial clustering of applications with noise (DBSCAN) algorithm was used for this purpose. Finally, the right and left foot were differentiated based on the position of the centroid of each cluster. Knowing the position of both feet with respect to the cane, we were able to measure the BoS with an error of 92.04 cm2(7.38 %).","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131168721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Extraction of useful features for stress detection using various biosignals doing mental arithmetic 利用各种生物信号进行心算提取应力检测的有用特征
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8883967
Shotaro Kaga, Shohei Kato
{"title":"Extraction of useful features for stress detection using various biosignals doing mental arithmetic","authors":"Shotaro Kaga, Shohei Kato","doi":"10.1109/LifeTech.2019.8883967","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8883967","url":null,"abstract":"In recent years, research on stress has been actively conducted because of an increase in demand for mental health care. In this paper, simultaneous measurements of biosignals by electrocardiogram (ECG), near-infrared spectroscopy (NIRS) and nasal skin temperature (NST) were performed at stress loading due to mental arithmetic task. Feature extraction and selection of the biosignals were performed by random forest and stepwise method, and learned by SVM to construct a detection model of stress state. Effective features were investigated from the model. As a result of learning, the F1 score of the model by stepwise method was 0.765, which is the highest result compared with the model using all the features and the model by random forest. The results suggested that the slope of NST is most useful as a feature to detect stress.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130889313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Automatic Sleep Stage Classification Based on Convolutional Neural Networks 基于卷积神经网络的睡眠阶段自动分类
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8883961
S. M. I. Niroshana, Xin Zhu, Ying Chen, Wenxi Chen
{"title":"Automatic Sleep Stage Classification Based on Convolutional Neural Networks","authors":"S. M. I. Niroshana, Xin Zhu, Ying Chen, Wenxi Chen","doi":"10.1109/LifeTech.2019.8883961","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8883961","url":null,"abstract":"This paper proposes a CNN model for automatic sleep stage scoring based on 4 Electroencephalogram (EEG) and 2 Electrooculogram (EOG) channels. Clinically, this task is done manually using polysomnographic (PSG) records by highly trained professional sleep experts, which is slow and labor-intensive. The proposed method was evaluated using PSG data from 184 subjects, recorded in Fukushima Oostsuki Clinic, Fukushima, Japan. The model showed an overall accuracy of 84.13 % and precision, recall and, F1 score measures were calculated as ~ 84 %. Clearly, this model is capable of classifying sleep stages without employing any hand engineered features.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114558663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Examination of optimal cognitive task for Near-infrared spectroscopy-based brain-computer interfaces 基于近红外光谱的脑机接口的最佳认知任务检验
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8884054
Akira Masuo, Shotaro Kaga, Shohei Kato
{"title":"Examination of optimal cognitive task for Near-infrared spectroscopy-based brain-computer interfaces","authors":"Akira Masuo, Shotaro Kaga, Shohei Kato","doi":"10.1109/LifeTech.2019.8884054","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8884054","url":null,"abstract":"Brain-computer interface (BCI) is a new technology that enables communication using brain activities for patients in totally locked-in state. In this research, we examined optimal mental task for near-infrared spectroscopy-based BCI from among six tasks. SVM was used for learning, and the classification accuracy for each tasks through k-fold cross validation was calculated. As a result, it was suggested that the mental figure rotation is a task with high discrimination accuracy and less sense of burden.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123778549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison of The Method of Temporal Dominance of Sensations and After-tasting Sensory Evaluation 感觉时间优势法与品尝后感官评价法的比较
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8883996
Yuki Ehara, S. Okamoto, Takumu Okada, Yoji Yamada
{"title":"Comparison of The Method of Temporal Dominance of Sensations and After-tasting Sensory Evaluation","authors":"Yuki Ehara, S. Okamoto, Takumu Okada, Yoji Yamada","doi":"10.1109/LifeTech.2019.8883996","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8883996","url":null,"abstract":"The temporal dominance of sensations (TDS) method can record changes in multiple time-variant sensations while eating food products. Since this is a relatively new method, its characteristics remain unclear. This study aims to reveal the characteristics of the data obtained by the TDS method compared to conventional sensory evaluation methods. For this purpose, in the experiment, participants evaluated ten types of pickled plums using both methods. We analyzed the data using principal component analysis methods and multivariate ANOVA and found that both methods could equally discriminate brands of pickled plums. Nonetheless, the brands discriminated by the two methods did not largely overlap, suggesting that the two methods are qualitatively distinct.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124689424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Vector Auto-Regression Model of Temporal Perceptual and Affective Responses Towards Food 对食物的时间感知和情感反应的向量自回归模型
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8883955
Takumu Okada, S. Okamoto, Yoji Yamada, Tomoharu Ishikawa
{"title":"Vector Auto-Regression Model of Temporal Perceptual and Affective Responses Towards Food","authors":"Takumu Okada, S. Okamoto, Yoji Yamada, Tomoharu Ishikawa","doi":"10.1109/LifeTech.2019.8883955","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8883955","url":null,"abstract":"Although human perceptual and affective responses triggered by the exposure to sensory experiences are dynamic, their temporal evolution has not been intensively investigated. In this study, we aimed to construct a mathematical model of such dynamics. The perceptual and affective responses while eating strawberries were measured using the temporal dominance of sensations method. We modeled them with a vector autoregression (VAR) model based on Granger causality between perceptual and affective responses.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"43 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120822960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Development of a non-actuated wearable device to prevent knee buckling 一种防止膝关节屈曲的非驱动可穿戴设备的研制
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) Pub Date : 2019-03-12 DOI: 10.1109/LifeTech.2019.8884025
Shusuke Naito, Yasuhiro Akiyama, Koichiro Ohashi, Yoji Yamada, S. Okamoto
{"title":"Development of a non-actuated wearable device to prevent knee buckling","authors":"Shusuke Naito, Yasuhiro Akiyama, Koichiro Ohashi, Yoji Yamada, S. Okamoto","doi":"10.1109/LifeTech.2019.8884025","DOIUrl":"https://doi.org/10.1109/LifeTech.2019.8884025","url":null,"abstract":"Wearable devices are required not only for assisting the gait motion of the elderly but also for improving the gait stability. Thus, a non-actuated wearable device was developed in this study. The device intended to prevent knee buckling by supporting knee using string placed along with body surface. In order to arrange the force pattern, a string length adjustment mechanism was developed. The experimental result suggested that this wearable device could successfully generate knee extension torque which mitigated knee buckling.","PeriodicalId":124192,"journal":{"name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125983799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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