Physiological and performance metrics during a cardiopulmonary real-time feedback simulation to estimate cognitive load

被引:0
|
作者
Larraga-Garcia, Blanca [1 ]
Bejerano, Veronica Ruiz [1 ]
Oregui, Xabier [3 ]
Rubio-Bolivar, Javier [2 ]
Quintana-Diaz, Manuel [2 ]
Gutierrez, Alvaro [1 ]
机构
[1] Univ Politecn Madrid, Escuela Tecn Super Ingn Telecomunicac, Ave Complutense, 30, Madrid 28040, Spain
[2] Hosp Paz Inst Hlth Res IdiPAZ, C Padro R,6, Madrid 28029, Spain
[3] Vicomtech Fdn, Paseo Mikeltegi,57, Donostia San Sebastian 20009, Spain
关键词
Cognitive load; Cardiopulmonary resuscitation; Biosignals; Multitasking; Performance; MULTITASKING; MEMORY; CARE; STORAGE;
D O I
10.1016/j.displa.2024.102780
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Multitasking is crucial for First Responders (FRs) in emergency scenarios, enabling them to prioritize and treat victims efficiently. However, research on multitasking and its impact on rescue operations are limited. This study explores the relationship between multitasking, working memory, and the performance of chest compressions during cardiopulmonary resuscitation (CPR). In this experiment, eighteen first -year residents participated in a CPR maneuver using a real -time feedback simulator to learn chest compressions. Different additional secondary tasks were developed and accomplished concurrently with the chest compressions. Heart rate, respiration rate, galvanic skin response, body temperature, eye gaze movements and chest compression performance data were collected. The findings of this study indicated that multitasking impacted chest compression quality for all secondary tasks, showing significance (p-value < 0.05) for the frequency of the chest compressions which worsened in all cases. Additionally, vital signs such as heart rate, respiration rate, and eye gaze speed were also affected during multitasking. Nevertheless, this change on vital signs was different depending on the type of secondary task accomplished. Therefore, as a conclusion, performing multiple tasks during chest compressions affects performance. Understanding cognitive load and its impact on vital signs can aid in training FRs to handle complex scenarios efficiently.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Accurate real-time feedback of surface EMG during fMRI
    Ganesh, G.
    Franklin, D. W.
    Gassert, R.
    Imamizu, H.
    Kawato, M.
    JOURNAL OF NEUROPHYSIOLOGY, 2007, 97 (01) : 912 - 920
  • [42] The effect of automatic external defibrillator with a real-time feedback on quality of bystander cardiopulmonary resuscitation: A before-and-after simulation study
    Kim, Chu Hyun
    Kim, Tae Han
    Shin, Sang Do
    Song, Kyoung Jun
    Ro, Young Sun
    Ahn, Ki Ok
    Hong, Ki Jeong
    Lee, Yu Jin
    Lee, Eui Jung
    Ha, So Young
    HEALTH & SOCIAL CARE IN THE COMMUNITY, 2019, 27 (05) : E744 - E751
  • [43] Real-Time Electrical Load Emulator Using Optimal Feedback Control Technique
    Rao, Y. Srinivasa
    Chandorkar, Mukul C.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (04) : 1217 - 1225
  • [44] EFFECTS OF GOAL-SETTING AND REAL-TIME FEEDBACK ON PERFORMANCE AND TIME-ESTIMATION DURING VDT OPERATION
    FUJIWARA, T
    KANO, S
    JAPANESE JOURNAL OF PSYCHOLOGY, 1994, 65 (02): : 87 - 94
  • [45] Real-time surgery simulation with haptic feedback using finite elements
    Cotin, S
    Delingette, H
    1998 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, 1998, : 3739 - 3744
  • [46] Towards an understanding of real-time continuous feedback from simulation games
    Nkhoma, Mathews
    Calbeto, Jaime
    Sriratanaviriyakul, Narumon
    Muang, Thu
    Quyen Ha Tran
    Thanh Kim Cao
    INTERACTIVE TECHNOLOGY AND SMART EDUCATION, 2014, 11 (01) : 45 - 62
  • [47] A Feedback Simulation Procedure for Real-time Control of Urban Drainage Systems
    Romero Ben, Luis
    Sun, Congcong
    Guasch Palma, Ramon
    Joseph Duran, Bernat
    Meseguer, Jordi
    Cembrano, Gabriela
    Puig, Vicenc
    IFAC PAPERSONLINE, 2019, 52 (23): : 101 - 106
  • [48] Real-time feedback to reduce low-back load in lifting and lowering
    Punt, Michiel
    Nematimoez, Mehdi
    van Dieen, Jaap H.
    Kingma, Idsart
    JOURNAL OF BIOMECHANICS, 2020, 102 (102)
  • [49] Simulation Model for Transcervical Laryngeal Injection Providing Real-time Feedback
    Ainsworth, Tiffiny A.
    Kobler, James B.
    Loan, Gregory J.
    Burns, James A.
    ANNALS OF OTOLOGY RHINOLOGY AND LARYNGOLOGY, 2014, 123 (12): : 881 - 886
  • [50] Real-Time Intubation and Ventilation Feedback: A Randomized Controlled Simulation Study
    Dvorsky, Robyn
    Rings, Franziska
    Bibl, Katharina
    Roessler, Lisa
    Kumer, Lisa
    Steinbauer, Philipp
    Schwarz, Hannah
    Ritschl, Valentin
    Schmolzer, Georg M.
    Berger, Angelika
    Werther, Tobias
    Wagner, Michael
    PEDIATRICS, 2023, 151 (05)