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)