International Congress on Neurotechnology, Electronics and Informatics最新文献

Dynamics of a Stimulation-evoked ECoG Potential During Stroke Rehabilitation - A Case Study 脑卒中康复过程中刺激诱发脑电图电位的动态-一个案例研究

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-09-20 DOI: 10.5220/0004644302410248

A. Walter, G. Naros, M. Spüler, W. Rosenstiel, A. Gharabaghi, M. Bogdan

{"title":"Dynamics of a Stimulation-evoked ECoG Potential During Stroke Rehabilitation - A Case Study","authors":"A. Walter, G. Naros, M. Spüler, W. Rosenstiel, A. Gharabaghi, M. Bogdan","doi":"10.5220/0004644302410248","DOIUrl":"https://doi.org/10.5220/0004644302410248","url":null,"abstract":"Cortical stimulation is being investigated as a possible tool to support stroke rehabilitation. In particular the analysis of stimulation-evoked neural activity during the rehabilitation process might be helpful to gain a better understanding of the brain reorganization associated with functional recovery after stroke. In this paper, the stimulation-evoked brain activity from a patient with implanted epidural electrodes undergoing an intervention using of brain-computer interfaces combined with cortical stimulation for stroke rehabilitation has been analyzed. We identified a component of the evoked cortical activity that exhibited several characteristics that have not been described before: A significant latency decrease over the course of the rehabilitation training, a significantly smaller latency if the patient attempted to move his paralyzed hand compared to rest and a significant correlation of the latency with the spectral power of the ECoG signal. In addition to the latency, other parameters such as the peak amplitude of the evoked activity were tested as well, but showed a smaller effect size. We hypothesize that such “dynamic” components of the evoked activity that appear to be correlated with the rehabilitation process and the ongoing brain signal could be a target for future closed-loop stimulation systems.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"2000 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131277919","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

Clinical, Functional and Kinematic Correlations using the Virtual Reality System Toyra® as Upper Limb Rehabilitation Tool in People with Spinal Cord Injury 使用虚拟现实系统Toyra®作为脊髓损伤患者上肢康复工具的临床，功能和运动学相关性

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-09-20 DOI: 10.5220/0004642600810088

I. Dimbwadyo-Terrer, F. Trincado-Alonso, A. Reyes-Guzmán, Alberto Bernal-Sahún, P. López-Monteagudo, B. Polonio-López, Á. Gil-Agudo

{"title":"Clinical, Functional and Kinematic Correlations using the Virtual Reality System Toyra® as Upper Limb Rehabilitation Tool in People with Spinal Cord Injury","authors":"I. Dimbwadyo-Terrer, F. Trincado-Alonso, A. Reyes-Guzmán, Alberto Bernal-Sahún, P. López-Monteagudo, B. Polonio-López, Á. Gil-Agudo","doi":"10.5220/0004642600810088","DOIUrl":"https://doi.org/10.5220/0004642600810088","url":null,"abstract":"The aim of this study was to prove the validity and efficacy of the Virtual Reality (VR) System Toyra® as an assessment and rehabilitation tool for people with tetraplegia. We analysed the correlation between clinical and functional parameters with kinematic variables of upper limbs during a training protocol using Toyra®. Eighteen patients with cervical spinal cord injury (SCI) were selected to perform the study by comparing 2 treatments: patients in an intervention group (IG) conducted a program that included 12 sessions with Toyra® Activities of Daily Living (ADLs) module for 3 weeks, while a control group (CG) only had the traditional rehabilitation. Kinematic variables (shoulder, elbow and hand joint range of motion) were correlated to clinical [Motor Index (MI), Muscle Balance (MB)] and functional [Functional Independence Measure (FIM), Spinal Cord Independence Measure II (SCIM II), Barthel Index (BI)] evaluation scores. The results of the study showed a high correlation between these variables and also statistically significant differences (p=0.039) in a kinematic parameter (wrist extension), after treatment and in the follow-up evaluation. Toyra® system has been validated as upper limb assess and rehabilitation tool in people with SCI, to measure the patient ́s functional evolution and improve the movement in upper limbs.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131876016","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: 9

Striving for Better and Earlier Movement Prediction by Postprocessing of Classification Scores 通过分类分数后处理争取更好更早的运动预测

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-09-04 DOI: 10.5220/0004632600130020

S. Straube, A. Seeland, D. Feess

{"title":"Striving for Better and Earlier Movement Prediction by Postprocessing of Classification Scores","authors":"S. Straube, A. Seeland, D. Feess","doi":"10.5220/0004632600130020","DOIUrl":"https://doi.org/10.5220/0004632600130020","url":null,"abstract":"Brain-computer interfaces that enable movement prediction are useful for many application fields from telemanipulation to rehabilitation. Current systems still struggle with a level of unreliability that requires improvement. Here, we investigate several postprocessing methods that operate on the classification outcomes. In particular, the data was classified after preprocessing using a support vector machine (SVM). The output of the SVM, i.e. the raw score values, were postprocessed using previously obtained scores to account for trends in the classification result. The respective methods differ in the way the transformation is performed. The idea is to use trends, like the rise of the score values approaching an upcoming movement, to yield a better prediction in terms of detection accuracy and/or an earlier time point. We present results from different subjects where upcoming voluntary movements of the right arm were predicted using the lateralized readiness potential from the EEG. The results illustrate that better and earlier predictions are indeed possible with the suggested methods. However, the best postprocessing method was rather subject-specific. Depending on the requirements of the application at hand, postprocessing the classification scores as suggested here can be used to find the best compromise between prediction accuracy and time point.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132626657","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

Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing 脑电和肌电信号处理中移动方差计算的记忆和处理高效公式

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-09-01 DOI: 10.5220/0004633800410045

M. M. Krell, M. Tabie, Hendrik Wöhrle, E. Kirchner

引用次数: 9

Efficiency of SSVEF Recognition from the Magnetoencephalogram - A Comparison of Spectral Feature Classification and CCA-based Prediction 脑磁图识别SSVEF的效率——光谱特征分类与基于ca的预测的比较

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-08-26 DOI: 10.5220/0004645602330237

C. Reichert, Matthias Kennel, R. Kruse, H. Hinrichs, J. Rieger

{"title":"Efficiency of SSVEF Recognition from the Magnetoencephalogram - A Comparison of Spectral Feature Classification and CCA-based Prediction","authors":"C. Reichert, Matthias Kennel, R. Kruse, H. Hinrichs, J. Rieger","doi":"10.5220/0004645602330237","DOIUrl":"https://doi.org/10.5220/0004645602330237","url":null,"abstract":"Steady-state visual evoked potentials (SSVEP) are a popular method to control brain-computer interfaces (BCI). Here, we present a BCI for selection of virtual reality (VR) objects by decoding the steady-state vi- sual evoked fields (SSVEF), the magnetic analogue to the SSVEP in the magnetoencephalogram (MEG). In a conventional approach, we performed online prediction by Fourier transform (FT) in combination with a mul- tivariate classifier. As a comparative study, we report our approach to increase the BCI-system performance in an offline evaluation. Therefore, we transfered the canonical correlation analysis (CCA), originally employed to recognize relatively low dimensional SSVEPs in the electroencephalogram (EEG), to SSVEF recognition in higher dimensional MEG recordings. We directly compare the performance of both approaches and con- clude that CCA can greatly improve system performance in our MEG-based BCI-system. Moreover, we find that application of CCA to large multi-sensor MEG could provide an effective feature extraction method that automatically determines the sensors that are informative for the recognition of SSVEFs.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123990663","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: 7

Human-like Sensor Fusion Mechanisms in a Postural Control Robot 姿态控制机器人中的类人传感器融合机制

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-08-10 DOI: 10.5220/0004642701520160

G. Hettich, Vittorio Lippi, T. Mergner

{"title":"Human-like Sensor Fusion Mechanisms in a Postural Control Robot","authors":"G. Hettich, Vittorio Lippi, T. Mergner","doi":"10.5220/0004642701520160","DOIUrl":"https://doi.org/10.5220/0004642701520160","url":null,"abstract":"In humans, maintaining body posture is a basis for many activities such as standing, walking or reaching. Human posture control involves multi-sensory integration mainly of joint angle, joint torque, vestibular and visual inputs. This integration provides humans with high flexibility and with robustness in terms of failsafety. Roboticists may draw inspirations from the human control methods when building devices that interact with humans, such as prostheses or exoskeletons. This study presents a multisensory control method derived from human experiments, which is re-embodied in a biped postural control robot. The robot uses ankle and hip joints for balancing in the sagittal plane during external disturbances such as support surface motion. For the balancing, the robot estimates the external disturbances that have impact on its body by fusing the sensory signals. It then uses these estimates in negative feedback to command the local joint controls to compensate for the disturbances. This study describes the human sensor fusion mechanisms and their implementation into the robot, and it compares robot and human responses to support surface tilt. Measured balancing responses of the robot resemble in the main characteristics those of the human subjects, suggesting that the described sensor fusion mechanisms capture important aspects of human balancing.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114025310","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: 15

Human Motion Assistance using Walking-aid Robot and Wearable Sensors 使用助行机器人和可穿戴传感器的人类运动辅助

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-08-07 DOI: 10.5220/0004664101990204

Jian Huang, Z. Shu, Wen-Xia Xu, S. Mohammed

引用次数: 0

Virtual Arm Representation and Multimodal Monitoring for the Upper Limb Robot Assisted Teletherapy 上肢机器人辅助远程治疗的虚拟手臂表征与多模态监测

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-08-07 DOI: 10.5220/0004642300690080

Gorka Epelde, Xabier Valencia, A. Ardanza, Elsa Fanchon, A. Mauro, F. M. Rueda, E. Carrasco, S. Rajasekharan

{"title":"Virtual Arm Representation and Multimodal Monitoring for the Upper Limb Robot Assisted Teletherapy","authors":"Gorka Epelde, Xabier Valencia, A. Ardanza, Elsa Fanchon, A. Mauro, F. M. Rueda, E. Carrasco, S. Rajasekharan","doi":"10.5220/0004642300690080","DOIUrl":"https://doi.org/10.5220/0004642300690080","url":null,"abstract":"The use of technology in rehabilitation therapies targets the sustainability of health systems and the improvement of quality of life of the user (therapists, patients and informal carers). Robot or exoskeleton assisted rehabilitation systems, which are based on neurorehabilitation principles, are tools that not only help patients move the arm with precision; they also help reduce the fatigue of the therapist during the process. One of the challenges of the virtual reality based robot assisted upper limb rehabilitation is patients’ immersion within the therapy to achieve an improved progress of the rehabilitation. This paper, presents a new virtual reality therapy that has been created using the Armeo Spring exoskeleton. A 3D representation of the arm serves as an interaction mechanism with the virtual world. This makes the user more aware of the movements that he/she is making and improves the rehabilitation outcomes. It also encourages the user motivation and engagement to the therapy. Additionally, an application for the multimodal monitoring of the patient has been developed, together with tools for the online assessment of patients. These developments allow the physician to review the therapy without being in the same place and time, optimizing the use of hospital’s human resources.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116150070","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

On the Impact of Pathological Tremor Intensity on Noninvasive Characterization of Motor Unit Discharge Properties 病理性震颤强度对运动单元放电特性无创表征的影响

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2018-04-20 DOI: 10.5220/0004664001260132

P. P. Bržan, V. Glaser, S. Zelic, J. A. Gallego, J. Muñoz, A. Holobar

{"title":"On the Impact of Pathological Tremor Intensity on Noninvasive Characterization of Motor Unit Discharge Properties","authors":"P. P. Bržan, V. Glaser, S. Zelic, J. A. Gallego, J. Muñoz, A. Holobar","doi":"10.5220/0004664001260132","DOIUrl":"https://doi.org/10.5220/0004664001260132","url":null,"abstract":"The impact of severity of pathological tremor on surface EMG decomposition was systematically assessed on eight essential tremor patients. The inertial data and surface EMG signals were concurrently recorded from wrist extensor and flexor muscles of both patients’ arms. The inertial recordings were segmented into different tremor cycles and the tremor amplitude was assessed in each tremor cycle. Surface EMG was decomposed by Convolution Kernel Compensation (CKC) technique in order to yield individual motor unit discharge patterns in each tremor cycle. Accuracy of EMG decomposition was assessed for each identified motor unit and was largely uncorrelated with tremor amplitude. In all the patients, the percentage of EMG energy identified by decomposition and the number of identified motor units were found to be positively correlated with tremor amplitude, though the correlation was relatively weak and not always significant. The results demonstrate that the CKC decomposition not only copes with moderate and severe tremor but also improves its performance with tremor intensity.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128010383","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

Real-time Classification of Finger Movements using Two-channel Surface Electromyography 利用双通道表面肌电图实时分类手指运动

International Congress on Neurotechnology, Electronics and Informatics Pub Date : 2017-05-31 DOI: 10.5220/0004663002180223

K. Anam, Adel Al-Jumaily

引用次数: 2