Neural Interfaces to Monitor Fatigue and Sleepiness in the Cathlab

NCT ID: NCT05041218

Last Updated: 2025-03-27

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-05-09

Study Completion Date

2025-03-24

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Coronary Artery Disease Mental Stress Stress, Psychological

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

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

Neural Interfaces Electroencephalogram measurement on Operators

Intervention Type OTHER

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.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Neural 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.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

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

Exclusion Criteria

* none
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

University Hospital of Ferrara

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Gianluca Campo

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Simone Biscaglia, MD

Role: PRINCIPAL_INVESTIGATOR

Azienda Ospedaliero Universitaria di Ferrara

Gianluca Campo, MD

Role: STUDY_CHAIR

Azienda Ospedaliero Universitaria di Ferrara

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

University Hospital of Ferrara

Ferrara, , Italy

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Italy

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type BACKGROUND
PMID: 29017780 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 22832068 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 30691989 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25224885 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

OspFE_25082021

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.