Neural Interfaces to Monitor Fatigue and Sleepiness in the Cathlab : Gauging Active Modalities of Error Detection and Signaling Obtained by Neural Interfaces in the Cathlab: The GAME-ON Study

The investigators will prospectively record and analyze Electroencephalogram (EEG) signals from 5 interventional cardiologists and 2 fellows in training in all consecutive procedures at Ferrara University Hospital. Considering the hypothesis of independence of the working shifts, given the heterogeneity of their structure in terms of procedures' number and type and their distance in time, it is then possible to assume that the same operator's psycho-physical state diverges between two different acquisition days. Muse S (InteraXon; Canada), a minimally invasive device paired via Bluetooth to a dedicated app, is used to record EEG signals. Neurometrics will be acquired during Alpha Attenuation Protocols (AAP), a sensitive test to quantify sleepiness which involves measuring alpha power during 2 cycle of eye opening/closing protocol, for a total amount of 4 minutes. AAP will be recorded at the beginning of the shift, before and after each procedure performed and allow to extrapolate waves' power measures obtained during resting condition (AA Coefficient-eyes open (AAC-eo), AAC-eyes closed (AAC-ec) and AAC-mean), related to fatigue, and AAC-ec/AAC-eo (AAC-ratio), related to sleepiness. In addition, alpha-prevalence (AP) during on-task will be measured. Alpha prevalence is an estimate of alpha-power. Investigators will also measure several validated psychometric questionnaires: Karolinska Sleepiness Scale (KSS), Sleep Quality Scale (SQS) and Profile of Mood States-Fatigue subscale (POMS-F). Heart rate variability (HRV) during tasks, related to psycho-physical stress, is assessed through the square root of the mean of the sum of squares of differences between adjacent normal R-R (rMSSD).The Game-on project aims to describe workload, mental fatigue and sleepiness through variation of psychometric and neurometric measurements during a work shift with the intent of establishing determinants of error and lengthening of procedural times..

Medienart:	Klinische Studie

Erscheinungsjahr:	2023
Erschienen:	2023

Enthalten in:	ClinicalTrials.gov - (2023) vom: 14. Nov. Zur Gesamtaufnahme - year:2023

Sprache:	Englisch

Links:	Volltext [kostenfrei]

Themen:	610 Coronary Artery Disease Coronary Disease Myocardial Ischemia Recruitment Status: Recruiting Sleepiness Stress, Psychological Study Type: Observational

Anmerkungen:	Source: Link to the current ClinicalTrials.gov record., First posted: September 10, 2021, Last downloaded: ClinicalTrials.gov processed this data on November 22, 2023, Last updated: November 22, 2023

Study ID:

NCT05041218 OspFE_25082021

Veröffentlichungen zur Studie:

Puma S, Matton N, Paubel PV, Raufaste E, El-Yagoubi R. Using theta and alpha band power to assess cognitive workload in multitasking environments. Int J Psychophysiol. 2018 Jan;123:111-120. doi: 10.1016/j.ijpsycho.2017.10.004. Epub 2017 Oct 7. Brouwer AM, Hogervorst MA, van Erp JB, Heffelaar T, Zimmerman PH, Oostenveld R. Estimating workload using EEG spectral power and ERPs in the n-back task. J Neural Eng. 2012 Aug;9(4):045008. doi: 10.1088/1741-2560/9/4/045008. Epub 2012 Jul 25. Morales JM, Ruiz-Rabelo JF, Diaz-Piedra C, Di Stasi LL. Detecting Mental Workload in Surgical Teams Using a Wearable Single-Channel Electroencephalographic Device. J Surg Educ. 2019 Jul-Aug;76(4):1107-1115. doi: 10.1016/j.jsurg.2019.01.005. Epub 2019 Jan 26. Putilov AA, Donskaya OG. Alpha attenuation soon after closing the eyes as an objective indicator of sleepiness. Clin Exp Pharmacol Physiol. 2014 Dec;41(12):956-64. doi: 10.1111/1440-1681.12311.

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PPN (Katalog-ID):	CTG007900805