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CompletedNCT05041218GAME-ONUpdated Mar 27, 2025

Neural Interfaces to Monitor Fatigue and Sleepiness in the Cathlab

An observational study in Coronary Artery Disease, Mental Stress and Stress, Psychological, sponsored by University Hospital of Ferrara. Completed at 1 site in Italy. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-03-27.

Sponsored by University Hospital of Ferrara · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
500
Ages
18 Years and older
Sex
All
01

Study summary

Improvement of patients' care and outcome is largely based on development and validation of drugs and technologies, especially in rapidly evolving fields as Interventional Cardiology. In fact, even though the optimal efficiency of a cathlab can be influenced by Interventional Cardiologist's mental workload, stress' accumulation and performance, little if any attention is paid to the monitoring and optimization of his/her mental status. Electroencephalogram (EEG)-based neural-interfaces are able to estimate workload, fatigue and the degree of sleepiness through spectral analysis techniques. In particular, the amplitude of alpha waves is a widely validated indicator of mental engagement's level.

Developing a low cost and highly feasible device to monitor and analyze operator's mental engagement level and performance could be extremely appealing, especially considering both the lack of data in literature for interventional disciplines and the recent technology developments.

Read the detailed description

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.

02

Conditions studied

  • Coronary Artery Disease
  • Mental Stress
  • Stress, Psychological

Keywords

  • neural interfaces
  • attentional effort
  • mental fatigue
  • sleepiness
  • coronary artery disease
  • percutaneous coronary intervention
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

consecutive patients undergoing invasive coronary artery angiography and/or percutaneous coronary intervention at Ferrara University Hospital

Inclusion criteria

  • indication to coronary artery angiography and/or percutaneous coronary intervention

Exclusion criteria

Exclusion Criteria:

  • none
04

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
500 participants (actual)
Target follow-up
1 Month
Patient registry
Yes

Groups and cohorts

  • Patients undergoing coronary artery angiography and/or percutaneous coronary intervention

    Consecutive patients with indication to perform coronary artery angiography and/or percutaneous coronary intervention at Ferrara University Hospital

    Other: Neural Interfaces Electroencephalogram measurement on Operators

Interventions

  • OtherNeural Interfaces Electroencephalogram measurement on Operators

    Electroencephalogram based neural interfaces acquired during the interventional procedure and during alpha attenuation protocols (AAP) and psychometric questionnaires. AAP and psychometrics are acquired at the beginning of the shift, before and after each procedure performed.

05

What researchers measure

Primary outcomes

  1. Sleepiness Sensitivity KSS

    Sensitivity: proportion of operators with positive AAC ratio (AAC ratio values above study population median value are considered associated with sleepiness) of positive KSS questionnaire ones (true positive). KSS is defined as positive for values above preliminary study population median value (two months sampling of the same population between February and March 2021).

    Time frame: pre-procedure

  2. Sleepiness Sensitivity SQS

    Sensitivity: proportion of operators with positive AAC ratio of positive SQS questionnaire ones (true positive). SQS is defined as positive for values above preliminary study population median value (two months sampling of the same population between February and March 2021).

    Time frame: pre-procedure

  3. Sleepiness Specificity KSS

    Specificity: proportion of operators with negative AAC ratio (AAC ratio values below study population median value are not considered associated with sleepiness) of negative KSS questionnaire ones (true negative). KSS is defined as negative for values below preliminary study population median value (two months sampling of the same population between February and March 2021).

    Time frame: pre-procedure

  4. Sleepiness Specificity SQS

    Specificity: proportion of operators with negative AAC ratio (AAC ratio values below study population median value are not considered associated with sleepiness) of negative SQS questionnaire ones (true negative). SQS is defined as negative for values below preliminary study population median value (two months sampling of the same population between February and March 2021).

    Time frame: pre-procedure

  5. Fatigue Sensitivity POMS-F

    Sensitivity: proportion of operators with positive AAC ec/eo/mean (AAC ec/eo/mean values above study population median value are considered associated with fatigue) of positive POMS-F questionnaire ones (true positive). POMS-F is defined as positive for values above preliminary study population median value (two months sampling of the same population between February and March 2021).

    Time frame: pre-procedure

  6. Fatigue Specificity POMS-F

    Specificity: proportion of operators with negative AAC ec/eo/mean (AAC ec/eo/mean values below study population median value are not considered associated with fatigue) of negative POMS-F questionnaire ones (true negative). POMS-F is defined as negative for values below preliminary study population median value (two months sampling of the same population between February and March 2021).

    Time frame: pre-procedure

  7. On task psycho-physical stress NASA-TLX

    Proportion of operators with positive Alpha Prevalence (AP) eo (AP eo values above study population median value are considered associated with psychophysical stress) at the beginning of the procedure, end of the procedure and mean value during the procedure of operators with positive NASA-Task Load Index (TLX) (NASA-TLX value above preliminary study population median value (two months sampling of the same population between February and March 2021)).

    Time frame: intraprocedure

  8. On task psycho-physical stress rMSSD

    Proportion of operators with positive AP eo (AP eo values above study population median value are considered associated with psychophysical stress) at the beginning of the procedure, end of the procedure and mean value during the procedure of operators with positive rMSSD (rMSSD value below preliminary study individual's mean value).

    Time frame: intraprocedure

  9. Correlation AP and rMSSD

    Evaluate the correlation between AP and rMSSD curve during the procedure. Curves are built by evaluating AP and rMSSD values in 5 minutes slots all along the procedure.

    Time frame: intraprocedure

Secondary outcomes

  1. AUC Fatigue POMS-F (positive)

    Area under the curve (AUC) of AAC eo/ec/mean positive for POMS-F positive

    Time frame: pre-procedure

  2. AUC Sleepiness KSS/SQS

    Area under the curve (AUC) of AAC ratio positive for KSS/SQS positive

    Time frame: pre-procedure

  3. Procedural lengthening

    To discriminate whether positive AAC eo at the beginning of the procedure, at the end of the procedure and the mean value during the procedure is associated with longer procedure time, higher contrast volume and x-ray time after correction for confounders (clinical presentation, number of treated vessels, calcifications, etc.)

    Time frame: intraprocedure

06

Study locations

1 site
  • University Hospital of Ferrara
    Ferrara, Italy
07

References and documents

Publications

  • 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. PubMed 29017780 ↗
  • 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. PubMed 22832068 ↗
  • 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. PubMed 30691989 ↗
  • 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. PubMed 25224885 ↗

Individual participant data

Plan to share: No

08

Registry details

Key details

Study ID
NCT05041218
Lead sponsor
University Hospital of Ferrara
Responsible party
Gianluca Campo (Professor, University Hospital of Ferrara) — Principal investigator
First posted
Sep 10, 2021
Start date
May 9, 2023
Primary completion
Mar 24, 2025
Completion
Mar 24, 2025
Last update
Mar 27, 2025

Study contacts

Simone Biscaglia, MD
principal investigator · Azienda Ospedaliero Universitaria di Ferrara
Gianluca Campo, MD
study chair · Azienda Ospedaliero Universitaria di Ferrara

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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