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Link to original content: https://api.crossref.org/works/10.3390/S24072154
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,27]],"date-time":"2024-07-27T08:30:20Z","timestamp":1722069020916},"reference-count":32,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T00:00:00Z","timestamp":1711497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Non-Profit Central Research Institute Fund of Chinese Academy of Medical Sciences","award":["2023-RC320-01"]},{"name":"Peking Union Medical College 2023 Medical Education Scholar Program","award":["2023zlgc0711"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"High-quality cardiopulmonary resuscitation (CPR) and training are important for successful revival during out-of-hospital cardiac arrest (OHCA). However, existing training faces challenges in quantifying each aspect. This study aimed to explore the possibility of using a three-dimensional motion capture system to accurately and effectively assess CPR operations, particularly about the non-quantified arm postures, and analyze the relationship among them to guide students to improve their performance. We used a motion capture system (Mars series, Nokov, China) to collect compression data about five cycles, recording dynamic data of each marker point in three-dimensional space following time and calculating depth and arm angles. Most unstably deviated to some extent from the standard, especially for the untrained students. Five data sets for each parameter per individual all revealed statistically significant differences (p < 0.05). The correlation between Angle 1\u2032 and Angle 2\u2032 for trained (rs = 0.203, p < 0.05) and untrained students (rs = \u22120.581, p < 0.01) showed a difference. Their performance still needed improvement. When conducting assessments, we should focus on not only the overall performance but also each compression. This study provides a new perspective for quantifying compression parameters, and future efforts should continue to incorporate new parameters and analyze the relationship among them.<\/jats:p>","DOI":"10.3390\/s24072154","type":"journal-article","created":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T17:39:56Z","timestamp":1711561196000},"page":"2154","source":"Crossref","is-referenced-by-count":1,"title":["Detection and Evaluation for High-Quality Cardiopulmonary Resuscitation Based on a Three-Dimensional Motion Capture System: A Feasibility Study"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"http:\/\/orcid.org\/0009-0007-6992-4710","authenticated-orcid":false,"given":"Xingyi","family":"Tang","sequence":"first","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7396-7739","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]},{"given":"Haoming","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]},{"given":"Aoqi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1352-0211","authenticated-orcid":false,"given":"You","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]},{"given":"Sijia","family":"Li","sequence":"additional","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]},{"ORCID":"http:\/\/orcid.org\/0009-0007-8190-2477","authenticated-orcid":false,"given":"Runyuan","family":"Pei","sequence":"additional","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8890-2161","authenticated-orcid":false,"given":"Hongzhen","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Yunfeng","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Meihua","family":"Piao","sequence":"additional","affiliation":[{"name":"School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"109757","DOI":"10.1016\/j.resuscitation.2023.109757","article-title":"Three-year trends in out-of-hospital cardiac arrest across the world: Second report from the International Liaison Committee on Resuscitation (ILCOR)","volume":"186","author":"Nishiyama","year":"2023","journal-title":"Resuscitation"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"105755","DOI":"10.1016\/j.nedt.2023.105755","article-title":"Using real-time device-based visual feedback in CPR recertification programs: A prospective randomised controlled study","volume":"124","author":"Lee","year":"2023","journal-title":"Nurse Educ. 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