scholarly journals Is it time to consider visual feedback systems the gold standard for chest compression skill acquisition?

Critical Care ◽  
2017 ◽  
Vol 21 (1) ◽  
Author(s):  
Andrea Cortegiani ◽  
Vincenzo Russotto ◽  
Enrico Baldi ◽  
Enrico Contri ◽  
Santi Maurizio Raineri ◽  
...  
Keyword(s):  
Skill Acquisition ◽  
Visual Feedback ◽  
Chest Compression ◽  
Gold Standard ◽  
Feedback Systems

Adaptive H ∞ -control for robust visual feedback systems

1999 ◽  
Vol 32 (2) ◽  
pp. 2298-2303
Author(s):  
Akira Maruyama ◽  
Masayuki Fujita
Keyword(s):  
Visual Feedback ◽  
Feedback Systems

Modeling head tracking of visual targets

2002 ◽  
Vol 12 (1) ◽  
pp. 25-33
Author(s):  
K.J. Chen ◽  
E.A. Keshner ◽  
B.W. Peterson ◽  
T.C. Hain
Keyword(s):  
Control System ◽  
Visual Feedback ◽  
Human Head ◽  
Feedback System ◽  
Optimization Methods ◽  
Head Tracking ◽  
Feedback Systems ◽  
Control Gain ◽  
Head Control ◽  
Visual Targets

Control of the head involves somatosensory, vestibular, and visual feedback. The dynamics of these three feedback systems must be identified in order to gain a greater understanding of the head control system. We have completed one step in the development of a head control model by identifying the dynamics of the visual feedback system. A mathematical model of human head tracking of visual targets in the horizontal plane was fit to experimental data from seven subjects performing a visual head tracking task. The model incorporates components based on the underlying physiology of the head control system. Using optimization methods, we were able to identify neural processing delay, visual control gain, and neck viscosity parameters in each experimental subject.

Abstract 229: Cardiopulmonary Resuscitation Compliance of Clinical Nurses Using Feedback Technology from the Zoll R Series Defibrillator

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Martha A Boudreau
Keyword(s):  
Visual Feedback ◽  
Chest Compression ◽  
Technology Use ◽  
Healthcare Providers ◽  
Rest Period ◽  
Visual Display ◽  
Chest Compressions ◽  
Compression Performance ◽  
Clinical Nurses ◽  
Use Of Technology

Use of technology driven devices aimed at providing audio-visual feedback during CPR have been developed, however research is limited to their usefulness effecting chest compression quality of clinical nurses who are often first to respond and begin chest compression on patients experiencing cardiac arrest. This study aimed to examine CPR chest compression compliance of nurses with and without feedback from the Zoll R Series® defibrillator on a manikin. Hypothesis: Audio-visual feedback technology use from the Zoll R Series defibrillator improves the percentage of appropriate chest compression depth and rate of nurses during a CPR manikin demonstration exercise. Methods: Thirty-four nurses participated using an AHA approved manikin. Each nurse performed two minutes of uninterrupted chest compressions without feedback, followed by a rest period and two minutes of uninterrupted chest compressions using feedback technology from the defibrillator. Compression data for rate and depth and total compressions in target within AHA 2015 ECC Guidelines were recorded by the defibrillator and entered into Zoll RescueNet® software. Demographics obtained for years of BLS and ACLS certification. Results: Of the 34 nurses, mean years of ACLS certification was 3.4 years and 11.7 certified years of BLS. Compressions performed with feedback showed a higher percentage of compressions in target (M = 87.37, SD= 15.95) including rate (M= 86.33, SD =15.13) and depth (M= 97.12, SD = 5.63) of compressions compared to percent compressions in target without feedback (M= 64.42, SD = 30.54) including rate (M= 65.73, SD = 32.44) and depth (M=93.34, SD = 19.99) of compressions. Twenty nine or 85% of the 34 nurses improved chest compression performance using feedback. No significant correlation found between years of BLS and ACLS certification and pre and post feedback compliance. Conclusions: Defibrillators offering verbal encouragement and a visual display allow for adjustments in rate and depth of compressions to maintain chest compressions compliance within ECC Guidelines. Further studies should investigate whether the incorporation of feedback technology use in mock code and CPR training sessions could improve CPR performance of healthcare providers including nurses.

Practical Voice Analyses and their Application in the Studio

2018 ◽  
pp. 1048-1070
Author(s):  
Garyth Nair ◽  
David M. Howard ◽  
Graham F. Welch
Keyword(s):  
Real Time ◽  
Visual Feedback ◽  
Learning Process ◽  
Private Practice ◽  
Pedagogical Practice ◽  
Feedback Systems ◽  
Voice Studio ◽  
Computer Based ◽  
Direct Feedback ◽  
The Voice

Modern personal computers are fast enough to analyze singing and provide real-time visual feedback of relevant acoustic elements. This feedback provides a quantitative dimension to the learning process in support of developing appropriate sung outputs. However, no computer-based system can replace the singing teacher, as the qualitative listening of an experienced musician cannot be replicated by a computer algorithm. The application of real-time visual displays can facilitate greater efficiency in learning fundamental skills through direct feedback in lessons and during private practice, leaving the teacher more time to work on qualitative aspects of performance that a computer cannot contribute to, such as stagecraft, interpretation, understanding the words, collaborating with an accompanist, and when to use different voice qualities. This chapter describes typical displays that are used in real-time visual feedback systems for singing training and considers how spectrography in particular can be used in pedagogical practice in the voice studio.

Abstract 456: Increasing the Compression Velocity and Acceleration Improved the Quality of Simulated Chest Compression Under the Direction of Real Time Visual Feedback Device

Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Yu Cao ◽  
Yarong He ◽  
Peng Yao
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Linear Regression ◽  
Real Time ◽  
Visual Feedback ◽  
Chest Compression ◽  
Independent Risk Factor ◽  
Baseline Test ◽  
Independent Risk Factors

Background: To investigate whether a real-time visual feedback device could improve the quality of chest compression (CC), and, if so, whether the mechanism is associated with dynamic indexes such as velocity and acceleration. Methods: A self-control trial of 2-minutes CC on a manikin by trained rescuers compared the quality of CC without or with a visual feedback device. Demographic characteristics were recorded and CC metrics for the two tests were computed. Multivariable linear regression analyses were performed to examine the impact of variables on rate of qualified chest compression (RQCC). Multivariable logistic regression was performed to determine independent risk factors for achieving qualified chest compression (QCC) in the second test. Results: A total of 159 participants (average age: 29.36±9.0 years, 80 (50.3%) men) were recruited. RQCC of the second test was significantly greater than that of the baseline test. Multivariable linear regression analysis showed that maximum compression velocity (V compression ) and maximum compression velocity (a compression ) were independent risk factors for RQCC for both tests. The mean V compression and a compression of the second test were significantly greater than those of the baseline test. However, V compression was the only independent risk factor predicting QCC achievement during the second test. ROC curve analysis showed the area under curve (AUC) was0.84,and the optimal cut-offvalue ofV compression was 39.48 cm/s. Conclusions: Increasing the V compression and a compression might improve the quality of simulated CC and should be recommended to improve QCC. Only V compression was an independent risk factor for achieving QCC during CC with a visual feedback device.

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