Data from wearable wireless instrumentation device taken during simulated CPR with and without intentional error toward a quality feedback device

• Main Authors: Adam Pantanowitz, Sarah R. Ward, Bronwyn C. Scott, David M. Rubin
• Format: Article
• Language: English
• Published: Elsevier 2019-10-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340919307553
• ISSN: 2352-3409

Data of Cardiopulmonary Resuscitation performed on a mannequin was collected via wearable instrumentation (using the MYO device). The data were collected for both “good” CPR and for performance of CPR with common errors introduced intentionally for this study. The data are labelled according to the error, and contain a variety of derived measurements. Data collected were used toward “Development of a novel cardiopulmonary resuscitation measurement tool using real-time feedback from wearable wireless instrumentation' (Ward et al., 2019) in which full context is available'. The data are available at Mendeley Data, doi:10.17632/pvjghfjmy4.1 (Ward et al., 2019). Keywords: Cardiopulmonary resuscitation (CPR), Quality, Dual-quaternions, Electromyogram (EMG), Inertial measurement unit (IMU), MYO, Machine learning