2016 IEEE EMBS International Student Conference (ISC)最新文献_第2页

Statistical features extraction for multivariate pattern analysis in meditation EEG using PCA 基于PCA的冥想脑电多变量模式分析统计特征提取

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508624

Laxmi Shaw, A. Routray

{"title":"Statistical features extraction for multivariate pattern analysis in meditation EEG using PCA","authors":"Laxmi Shaw, A. Routray","doi":"10.1109/EMBSISC.2016.7508624","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508624","url":null,"abstract":"This work was undertaken to study the specific statistical features of EEG data collected during meditation (Kriya Yoga) and normal conditions. The meditation practice changes the attentional allocation in the human brain to visualize this; statistical features are carefully calculated from different wavelet coefficients to categorize two diverse groups (i.e. Meditators and Non-Meditators). The entire time series of EEG data divided into overlapping segments, and statistical parameters calculated for each of these segments. Instead of using all the data points, we used only a few higher order statistical measures such as variance, kurtosis, relative band energy, Shannon entropy, and Renyi entropy obtained from the data segments. A standard clustering technique, i.e. Principal Component Analysis (PCA) used to get the distinct pattern from the statistical features in EEG. In this paper, we presented a clustering paradigm that used for the pattern analysis between meditators and non-meditators. We measured the EEG signal using 64 channels, with some peripheral physiological measures. 23 participants with varying experience in meditation practice and ten non-meditators (control group) are considered to visualize underlying clusters within the statistical features.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130913308","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: 22

A critical examination of three approaches for the design of passive ankle walking assist devices 对被动踝关节行走辅助装置设计的三种方法进行了批判性检查

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508623

Scott Pardoel, Marc Doumit

{"title":"A critical examination of three approaches for the design of passive ankle walking assist devices","authors":"Scott Pardoel, Marc Doumit","doi":"10.1109/EMBSISC.2016.7508623","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508623","url":null,"abstract":"Current ankle assist devices aim to improve the user's walking ability and stability. Despite the success of classical ankle orthoses and powered exoskeletons, these devices are still facing challenges that drive their continued development. This paper will first introduce the distinct types of ankle devices for walking assist. Then, three common approaches used in the design and development of these devices will be discussed and analyzed. These are inverse dynamics, the inverted pendulum model, and the design based on joint quasi-stiffness. The inverse dynamics approach simplifies all soft tissue contributions to a single force moment couple regardless of the source of the forces, thus making the prediction of metabolic cost very difficult. The inverted pendulum model is focused on the conservation of energy as the center of mass advances. It assumes rigid limb support and does not consider the ankle joint or the advancement of the center of pressure along the foot. The quasi-stiffness design approach attempts to translate the ankle stiffness into a combination of linear zones in order to be easily replicated with mechanical spring elements. The stiffness of the biological ankle is highly variable and dependent upon the speed of walking. Therefore devices using mechanical springs with non variable stiffness characteristics will only be effective within a narrow range of walking speeds. The current challenges faced by passive walking assist devices may be due to the methods used to assess the requirements of the body. If the parameters advised by these analytical approaches do not match the needs of the human body, the resulting devices will be inherently flawed.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114192494","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: 1

Cost-sensitive classification on class-balanced ensembles for imbalanced non-coding RNA data 不平衡非编码RNA数据类平衡集成的代价敏感分类

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508607

Bashier ElKarami, A. Alkhateeb, L. Rueda

{"title":"Cost-sensitive classification on class-balanced ensembles for imbalanced non-coding RNA data","authors":"Bashier ElKarami, A. Alkhateeb, L. Rueda","doi":"10.1109/EMBSISC.2016.7508607","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508607","url":null,"abstract":"Many bioinformatics data sets have class-imbalanced data, where the number of samples in each class is not equal. Since most of data sets contain usual versus unusual cases, e.g. cancer versus normal or miRNAs versus other non-coding RNA, where the minority class with the least number of samples is the interesting class that contains the unusual cases. The learning models based on the standard classifiers, such as the support vector machine (SVM), random forest and k-NN are usually biased towards the majority class, which means that the classifier is most likely to predict the samples from the interesting class inaccurately. Thus, handling class-imbalanced data set has gained the researchers interests recently. A combination of proper feature selection, a cost-sensitive classifier and ensembling based on random forest method (BCE-CSC-RF) is proposed to handle the class-imbalanced data. Random class-balanced ensembles are built individually. Then, each ensemble is used as a training pool to classify the rest of out-bagged samples. Samples in each ensemble will be classified using class-sensitive classifier that incorporates random forest. The sample will be classified by selecting the most often class has been voted-for in all samples appearances in all the formed ensembles. A set of performance measurements including a geometric measurement suggests that the model can improve the classification of the minority class samples.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479852","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: 10

Urogenital kinematics mesaured in the sagittal plane using a novel ultrasound image processing approach 泌尿生殖运动学测量在矢状面使用一种新的超声图像处理方法

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508604

C. Czyrnyj, Michel R. Labrosse, Linda McLean

{"title":"Urogenital kinematics mesaured in the sagittal plane using a novel ultrasound image processing approach","authors":"C. Czyrnyj, Michel R. Labrosse, Linda McLean","doi":"10.1109/EMBSISC.2016.7508604","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508604","url":null,"abstract":"Stress urinary incontinence (SUI) is highly prevalent among women, and is associated with biomechanical defects in the urogenital system. Current approaches to quantifying urogenital mechanics are limited. The purpose of this research is to develop semi-automated software that compensates for in-plane translational and rotational probe motion during kinematic analyses based on dynamic sagittal-plane ultrasound imaging. Coordinate systems were constructed in each video frame in order to build transformation matrices that would compensate for probe motion. Once the transformation matrices were applied to each frame, kinematics could be calculated. The kinematics of the bladder neck (BN) and anorectal angle (ARA) were calculated in a female presenting with mild SUI performing a double-barrel cough. Displacement and velocity curves were similar to those reported in the literature, while accelerations were difficult to compare due to differences between our task and the only task analyzed in the literature. The results appear to reflect adequate pelvic floor muscle activation, indicating that in this woman, SUI may be due to another urogenital defect, such as urethral hypermobility or sphincter deficiency. This paper presents a proof of concept for software development. As a next step, inter-and intra-user reliability of the software output will be evaluated.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131746587","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: 1

Modeling and analysis of a novel approach for particle separation using time-varying amplitude dielectrophoresis 时变振幅介质电泳颗粒分离新方法的建模与分析

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508622

Paresa Modarres, M. Tabrizian

引用次数: 1

Portable real-time PCR system using tablet-based fluorescence imaging 采用片剂荧光成像的便携式实时PCR系统

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508599

Hayden Bialek, Jacob Dawes, D. Heer, M. Johnston

引用次数: 5

Haptic feedback in lower-limb prosthesis: Combined haptic feedback and EMG control of a powered prosthesis 下肢假体的触觉反馈:动力假体的触觉反馈与肌电控制的结合

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508600

J. Canino, K. Fite

引用次数: 10

Review and analysis of recent development of lower extremity exoskeletons for walking assist 下肢辅助行走外骨骼的最新发展回顾与分析

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508620

Zlatko Lovrenovic, Marc Doumit

引用次数: 23

Simultaneous accelerometer measurements of arterial activity during benign ventricular ectopy 同时加速计测量良性心室异位时动脉活动

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508601

Natalie Kurgan Canino, Charles J. Robinson

{"title":"Simultaneous accelerometer measurements of arterial activity during benign ventricular ectopy","authors":"Natalie Kurgan Canino, Charles J. Robinson","doi":"10.1109/EMBSISC.2016.7508601","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508601","url":null,"abstract":"Over a 180s observation period, a 3-lead (V5) electrocardiogram (ECG) was collected in a 66 y.o. male subject with benign ventricular ectopy. Simultaneous measures were also made from two tri-axial accelerometers, one placed over the sternum and the other on the forehead. The experiment was repeated with the sensors placed over the femoral and carotid arteries. Signals were sampled at 1kHz and filtered. Ensemble averages (with ±S.D.) and raster plots were generated for each filtered time series from 200 ms before to 800 ms after the peak of each R-wave. Lag times between the R-wave peak (taken as t=0) and the prominent peaks (or valleys) of the various accelerometer signals were calculated, Pulse Transit Times (PTT) determined, and Pulse Wave Velocities (PWV) calculated, given the measured distance between each sensor placement. R-R intervals were calculated between each beat pair and sorted by shortest to longest duration. Ensemble averages and PWV calculations were then repeated by separating sinus rhythm interval pairs, and short and long R-R intervals pairs. The peak acceleration values seen in these three sets of ensemble averages were then compared to determine how normal, short and long R-R intervals influenced external pulse pressure measures.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815752","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

Continuous monitoring of mechanical properties of plantar soft tissue for diabetic patients using wearable ultrasonic and force sensors 应用可穿戴式超声与力传感器对糖尿病患者足底软组织力学特性的连续监测

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508627

Fatemeh Zabihollahy, Bruno M. Trindade, Y. Ono, E. Lemaire

{"title":"Continuous monitoring of mechanical properties of plantar soft tissue for diabetic patients using wearable ultrasonic and force sensors","authors":"Fatemeh Zabihollahy, Bruno M. Trindade, Y. Ono, E. Lemaire","doi":"10.1109/EMBSISC.2016.7508627","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508627","url":null,"abstract":"Characterizing plantar soft tissue mechanical properties is essential to fully understand the potential for ulcer formation in diabetic patients. Ulcers initiate in the under layers of foot where soft tissues become stiffer. If changes in soft tissue stiffness can be detected early, foot ulcer formation may be prevented. Also, monitoring soft tissue mechanical properties could be beneficial for prosthetic and orthotic fitting, sport performance monitoring, and injury prevention and detection. This paper presents a method, using wearsport performance monitoring, and injury prevention and detection. This paper presents a method, using wearableable ultrasonic and force sensors, for continuous monitoring of plantar soft tissue stiffness at the heel. With this method, simultaneous measurement of pressure and tissue displacement at the heel was performed and pressure-displacement curves were obtained while the person was stepping. This achievement establishes a basis for future research to assess mechanical properties of plantar soft tissues in real-time for foot ulcer screening.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130674385","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: 6