Study Stopped
The developer of the BCI left the institution so the study could not continue
Brain Computer Interface for Communication in Ventilated Patients
Wearable Brain Computer Interface (BCI) to Assist Communication in Mechanically Ventilated Patients the Intensive Care Unit (ICU)
1 other identifier
interventional
1
1 country
1
Brief Summary
Objectives: Specific Aim 1: To demonstrate the feasibility of using a Steady State Visual Evoked Potential (SSVEP) based Brain Computer Interface (BCI) device to facilitate communication of common patient needs in alert mechanically ventilated patients in the Intensive Care Unit (ICU). Specific Aim 2: To determine patient, family and bedside nurse satisfaction with communication using the BCI device and elicit open-ended feedback to guide future device improvements Design: Translational pilot study of a Steady State Visual Evoked Potential (SSVEP) based BCI system to facilitate communication in intubated patients, with sequential use of the BCI device and a picture board. Selection of the primary self-identified primary patient need on the BCI device will be compared to the icon selected on the picture board (reference standard). A patient satisfaction survey will then be provided to the patient or a family member following use for 2 hours a day for 3 consecutive days. Primary outcome: Accurate selection of the illustrative icon on the brain computer interface representing the physical or emotional need self-identified by the patient as being the most common trigger for communication with the bedside nurse during their admission. Secondary outcome: Selection by patients or family of "agree" or "strongly agree" with the statement "The Brain computer interface device allowed me to communicate my needs to the bedside nurse adequately". Intervention: Use of the brain computer device in the ICU for communication for 2 hours a day for 3 consecutive days Control/ Comparator: Sequential use of a communication picture board for 2 hours a day for 3 consecutive days, on the same days that the BCI device is used Sample Size: 30 mechanically ventilated but alert patients in the Intensive Care Unit
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Mar 2017
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 1, 2016
CompletedFirst Posted
Study publicly available on registry
June 6, 2016
CompletedStudy Start
First participant enrolled
March 1, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 25, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
August 25, 2017
CompletedApril 17, 2019
April 1, 2019
6 months
June 1, 2016
April 15, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
BCI device accuracy
Accurate selection of the illustrative icon on the brain computer interface representing the physical or emotional need self-identified by the patient as being the most common trigger for communication with the bedside nurse during their admission.
Immediately following enrollment
Secondary Outcomes (1)
Satisfaction survey
At the end of 3 days of using BCI device
Study Arms (1)
Brain Computer Interface (BCI) device
EXPERIMENTALThe patient uses the Brain Computer Interface (BCI) device in the ICU for communication for 2 hours a day for 3 consecutive days. The patient then uses a communication picture board for 2 hours a day for 3 consecutive days on the same days that the BCI device is used for comparison.
Interventions
A BCI system to facilitate communication in intubated patients. Patients use the device in the ICU for communication for 2 hours a day for 3 consecutive days.
The patient then uses a communication picture board for 2 hours a day for 3 consecutive days on the same days that the BCI device is used for comparison.
Eligibility Criteria
You may qualify if:
- Admitted to an Intensive Care Unit and on mechanical ventilation for at least 24 hours
- Age 18 years or older
- Able to briskly follow commands
- Unimpaired use of at least one upper limb
You may not qualify if:
- Ongoing respiratory distress, severe pain or other source of obvious discomfort requiring immediate medical or nursing attention
- Severe hemodynamic instability with ongoing need for vasopressor titration or resuscitation
- Known impairment of vision, other than error of refraction with corrective lenses present
- Inability to tolerate interruption of sedation
- Inability to communicate fluently in English
- Need for ongoing EEG monitoring
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Michigan Health System
Ann Arbor, Michigan, 48109, United States
Related Publications (19)
Happ MB, Garrett K, Thomas DD, Tate J, George E, Houze M, Radtke J, Sereika S. Nurse-patient communication interactions in the intensive care unit. Am J Crit Care. 2011 Mar;20(2):e28-40. doi: 10.4037/ajcc2011433.
PMID: 21362711BACKGROUNDJohnson MM, Sexton DL. Distress during mechanical ventilation: patients' perceptions. Crit Care Nurse. 1990 Jul-Aug;10(7):48-57. No abstract available.
PMID: 2403412BACKGROUNDCarroll SM. Nonvocal ventilated patients perceptions of being understood. West J Nurs Res. 2004 Feb;26(1):85-103; discussion 104-12. doi: 10.1177/0193945903259462.
PMID: 14984652BACKGROUNDBaker C, Melby V. An investigation into the attitudes and practices of intensive care nurses towards verbal communication with unconscious patients. J Clin Nurs. 1996 May;5(3):185-92. doi: 10.1111/j.1365-2702.1996.tb00248.x.
PMID: 8705084BACKGROUNDThomason JW, Shintani A, Peterson JF, Pun BT, Jackson JC, Ely EW. Intensive care unit delirium is an independent predictor of longer hospital stay: a prospective analysis of 261 non-ventilated patients. Crit Care. 2005 Aug;9(4):R375-81. doi: 10.1186/cc3729. Epub 2005 Jun 1.
PMID: 16137350BACKGROUNDMiglietta MA, Bochicchio G, Scalea TM. Computer-assisted communication for critically ill patients: a pilot study. J Trauma. 2004 Sep;57(3):488-93. doi: 10.1097/01.ta.0000141025.67192.d9.
PMID: 15454792BACKGROUNDMaringelli F, Brienza N, Scorrano F, Grasso F, Gregoretti C. Gaze-controlled, computer-assisted communication in Intensive Care Unit: "speaking through the eyes". Minerva Anestesiol. 2013 Feb;79(2):165-75. Epub 2012 Nov 22.
PMID: 23174919BACKGROUNDSmith E, Delargy M. Locked-in syndrome. BMJ. 2005 Feb 19;330(7488):406-9. doi: 10.1136/bmj.330.7488.406. No abstract available.
PMID: 15718541BACKGROUNDDaly JJ, Huggins JE. Brain-computer interface: current and emerging rehabilitation applications. Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S1-7. doi: 10.1016/j.apmr.2015.01.007.
PMID: 25721542BACKGROUNDChaudhary U, Birbaumer N, Curado MR. Brain-machine interface (BMI) in paralysis. Ann Phys Rehabil Med. 2015 Feb;58(1):9-13. doi: 10.1016/j.rehab.2014.11.002. Epub 2015 Jan 8.
PMID: 25623294BACKGROUNDNijboer F, Sellers EW, Mellinger J, Jordan MA, Matuz T, Furdea A, Halder S, Mochty U, Krusienski DJ, Vaughan TM, Wolpaw JR, Birbaumer N, Kubler A. A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. Clin Neurophysiol. 2008 Aug;119(8):1909-1916. doi: 10.1016/j.clinph.2008.03.034. Epub 2008 Jun 20.
PMID: 18571984BACKGROUNDSellers EW, Ryan DB, Hauser CK. Noninvasive brain-computer interface enables communication after brainstem stroke. Sci Transl Med. 2014 Oct 8;6(257):257re7. doi: 10.1126/scitranslmed.3007801.
PMID: 25298323BACKGROUNDMarchetti M, Priftis K. Brain-computer interfaces in amyotrophic lateral sclerosis: A metanalysis. Clin Neurophysiol. 2015 Jun;126(6):1255-1263. doi: 10.1016/j.clinph.2014.09.017. Epub 2014 Oct 2.
PMID: 25449558BACKGROUNDLesenfants D, Habbal D, Lugo Z, Lebeau M, Horki P, Amico E, Pokorny C, Gomez F, Soddu A, Muller-Putz G, Laureys S, Noirhomme Q. An independent SSVEP-based brain-computer interface in locked-in syndrome. J Neural Eng. 2014 Jun;11(3):035002. doi: 10.1088/1741-2560/11/3/035002. Epub 2014 May 19.
PMID: 24838215BACKGROUNDMuller-Putz GR, Scherer R, Brauneis C, Pfurtscheller G. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. J Neural Eng. 2005 Dec;2(4):123-30. doi: 10.1088/1741-2560/2/4/008. Epub 2005 Oct 25.
PMID: 16317236BACKGROUNDHerrmann CS. Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Exp Brain Res. 2001 Apr;137(3-4):346-53. doi: 10.1007/s002210100682.
PMID: 11355381BACKGROUNDBarr J, Fraser GL, Puntillo K, Ely EW, Gelinas C, Dasta JF, Davidson JE, Devlin JW, Kress JP, Joffe AM, Coursin DB, Herr DL, Tung A, Robinson BR, Fontaine DK, Ramsay MA, Riker RR, Sessler CN, Pun B, Skrobik Y, Jaeschke R; American College of Critical Care Medicine. Clinical practice guidelines for the management of pain, agitation, and delirium in adult patients in the intensive care unit. Crit Care Med. 2013 Jan;41(1):263-306. doi: 10.1097/CCM.0b013e3182783b72.
PMID: 23269131BACKGROUNDEly EW, Inouye SK, Bernard GR, Gordon S, Francis J, May L, Truman B, Speroff T, Gautam S, Margolin R, Hart RP, Dittus R. Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA. 2001 Dec 5;286(21):2703-10. doi: 10.1001/jama.286.21.2703.
PMID: 11730446BACKGROUNDBrunner P, Bianchi L, Guger C, Cincotti F, Schalk G. Current trends in hardware and software for brain-computer interfaces (BCIs). J Neural Eng. 2011 Apr;8(2):025001. doi: 10.1088/1741-2560/8/2/025001. Epub 2011 Mar 24.
PMID: 21436536BACKGROUND
Related Links
- A practical VEP-based brain-computer interface
- BCIBench: A Benchmarking Suite for EEG-based Brain Computer Interface, ODES-11 2014 Workshop on Optimizations for DSP and Embedded Systems, February 15, 2014, Orlando, FL
- A Novel Stimulation for Multi-Class SSVEP-Based Brain-Computer Interface Using Patterns of Time-Varying Frequencies, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 26-30, 2014, Chicago, IL
- Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Omid Dehzanghi, PhD
University of Michigan
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Associate Professor, Neurosurgery and Neurology Medical Director, Neurointensive Care
Study Record Dates
First Submitted
June 1, 2016
First Posted
June 6, 2016
Study Start
March 1, 2017
Primary Completion
August 25, 2017
Study Completion
August 25, 2017
Last Updated
April 17, 2019
Record last verified: 2019-04
Data Sharing
- IPD Sharing
- Will not share