Cross county sking synchroinized Video + sEMG data

This database were used to evaluate algorithm for detection of movement cycles based on the video and sEMG signal. The movement cycle identification is necessary for the calculation of an average sEMG profiles which are used to analyze a muscle activity during various locomotion. This database contains 7 data sets every 20.5 second of synchronous sEMG and video signals recorded during cross-country skiing in natural environment. The database was stored in CSS_data.zip file. The MATLAB mat-file format was used to save data. Please cite as following: [1] Sedlák, J. - Špulák, D. - Čmejla, R. - Bačáková, R.B. - Chrástková, Martina - et al. : Segmentation of Surface EMG Signals. In Applied Electronics - 2013 International Conference on Applied Electronics. Pilsen: University of West Bohemia, 2013, p. 257-260. ISSN 1803-7232. ISBN 978-80-261-0166-6.本数据集用于评估基于视频与表面肌电（sEMG）信号的运动周期检测算法。运动周期识别是计算平均表面肌电轮廓的必要前提，该轮廓可用于分析各类运动过程中的肌肉活动状态。本数据集包含7组时长为20.5秒的同步表面肌电与视频信号，采集自自然环境中的越野滑雪运动。数据集存储于CSS_data.zip压缩文件中，数据采用MATLAB mat文件格式保存。 请按以下方式引用： [1] Sedlák, J. - Špulák, D. - Čmejla, R. - Bačáková, R.B. - Chrástková, Martina - 等：表面肌电信号的分割。载于《应用电子学——2013年国际应用电子学会议》。比尔森：西波西米亚大学，2013年，第257-260页。ISSN 1803-7232。ISBN 978-80-261-0166-6。