Electromyography Analysis of Human Activities - DataBase 2 (EMAHA-DB2)

We present a sEMG signal database corresponding to the Indian population named “ElectroMyography Analysis of Human Activities - DataBase -2 (EMAHA-DB2).” This data set consists of two different weight training activities which involve isotonic and isometric contractions. Weight training activities are effective for improving muscle strength, overall health, and regaining limb functionality for people undergoing rehabilitation post stroke-related episodes. The EMG signals acquired during weight training can be used for muscle recruitment analysis. For example, during a specific movement, it can determine the set of recruited muscles and their order of recruitment. The institutional ethics committee of Indian Institute of Information Technology Sri City (No. IIITS/EC/2022/01) approved the proposed data collection protocol developed in accordance with the declaration of Helsinki and the “National Ethical Guidelines for Biomedical and Health Research involving human participants" of India. Nine healthy male subjects with no history of upper limb pathology participated in the sEMG data collection process. The average age is 21 years. Before the first session of activities, each of the participants gave written informed consent and the data collection process is completely non-invasive. At the beginning of each session, the participant's hands are cleaned with an alcohol based wet wipe. The total duration of each session is up-to one hour per subject depending on adaptability. Each of the hand muscle activity is recorded with a 2-channel Noraxon Ultium wireless sEMG sensor setup. Two self-adhesive Ag/AgCL dual electrodes were placed at Biceps Brachi(BB) and Flexor carpi ulnaris (FCU) muscle locations. During an activity, the subject is in a standing position and the weight is placed on a table at a convenient height for pickup. Each activity has three phases: rest followed by action and release. Each activity is repeated nine times. In order to avoid muscle fatigue, subjects rest for two minutes between different activities. (2022-12-20)

本报告呈现了一项针对印度人群的表面肌电图（sEMG）信号数据库，命名为“人类活动电肌电图分析数据库 - 2（EMAHA-DB2）。”该数据集包含了两种不同的重量训练活动，涉及等张和等长收缩。重量训练活动对于增强肌肉力量、提升整体健康状况以及帮助中风后康复患者恢复肢体功能具有显著效果。在重量训练过程中采集的肌电图信号可用于肌肉募集分析。例如，在特定运动过程中，可以确定募集的肌肉群及其募集顺序。印度信息技术学院斯里城分校（编号：IIITS/EC/2022/01）的伦理委员会批准了该数据收集方案，该方案遵循赫尔辛基宣言以及印度“涉及人类受试者的生物医学与健康研究国家伦理指南”。九名无上肢病理病史的健壮男性受试者参与了sEMG数据收集过程，平均年龄为21岁。在活动首场之前，每位受试者均签署了书面知情同意书，且数据收集过程完全无创。每次活动开始前，受试者的双手均用酒精湿巾进行清洁。每位受试者的每次活动总时长不超过一小时，具体时长根据其适应能力而定。手部肌肉活动通过2通道Noraxon Ultium无线sEMG传感器进行记录。在肱二头肌（BB）和尺侧腕屈肌（FCU）肌群位置放置了两枚自粘性的Ag/AgCL双电极。在活动过程中，受试者保持站立姿势，重量置于桌面上的适宜高度以便抓取。每个活动分为三个阶段：休息、动作和释放。每个活动重复九次。为避免肌肉疲劳，受试者在不同活动间休息两分钟。（2022-12-20）