Study to Validate Novel Seizure-Detection Algorithm
Validation of an Algorithm for Identification and Notification of Generalized Major Motor Seizures
1 other identifier
interventional
15
1 country
1
Brief Summary
The specificity and sensitivity of a novel seizure-detection mobile software application with a generalized tonic/clonic seizure detection algorithm (Motor Seizure Detection Algorithm \[mSDA\]) installed on a wearable device to be worn by the subject. The software will be tested using subjects from a patient population in an epilepsy monitoring unit (EMU) undergoing video and electroencephalograph (VEEG) observation. The number of generalized major motor seizures detected by the mSDA will be compared with those detected by VEEG.
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 2020
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
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 24, 2020
CompletedStudy Start
First participant enrolled
March 1, 2020
CompletedFirst Posted
Study publicly available on registry
March 2, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2020
CompletedMarch 2, 2020
February 1, 2020
7 months
February 24, 2020
February 27, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Sensitivity
Number of major motor seizure detections by algorithm with detection by video encephalogram data.
1 to 5 days
Secondary Outcomes (4)
False positive rate
1 to 5 days
Mean detection latency
1 to 5 days
Notifications
1 to 5 days
Cancellations
1 to 5 days
Study Arms (1)
Single Arm
OTHERThis is a single-arm study. All subjects enrolled in the study will wear the device during stay in the EMU.
Interventions
A seizure detection algorithm installed on a propriety mobile application to be used on a commercially available watch with a gyroscope to detect movement.
Eligibility Criteria
You may qualify if:
- Provision of signed and dated informed consent form.
- Stated willingness to comply with all study procedures and availability for the duration of the study.
- Meets the standard of care criteria for admission to an epilepsy monitoring unit (EMU).
- Male or female.
- Aged 18 and above.
- The patient has experienced at least one generalized major motor seizure prior to admission.
- Agreement to wear a wristwatch throughout the duration of the study on the left wrist.
- Ability to cancel false positive alarms via interaction with the application on the watch.
You may not qualify if:
- Concurrent physiological diseases with movement disorders (Parkinson's, tremor, ataxia, Huntington's, paralysis of the upper body, pseudo-seizures).
- Known allergic reactions to components of the (watch materials).
- Treatment with another investigational drug or other intervention within the study
- Children under the age of 18.
- Women who are pregnant or nursing.
- Inability to give consent to the study.
- Active skin infection or rash on the upper extremities
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Overwatch Digital Healthlead
- Bracane Companycollaborator
Study Sites (1)
Covenant Hospital and Covenant Medical Group
Lubbock, Texas, 79410, United States
Related Publications (10)
Fisher RS, Cross JH, French JA, Higurashi N, Hirsch E, Jansen FE, Lagae L, Moshe SL, Peltola J, Roulet Perez E, Scheffer IE, Zuberi SM. Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017 Apr;58(4):522-530. doi: 10.1111/epi.13670. Epub 2017 Mar 8.
PMID: 28276060BACKGROUNDProposal for revised clinical and electroencephalographic classification of epileptic seizures. From the Commission on Classification and Terminology of the International League Against Epilepsy. Epilepsia. 1981 Aug;22(4):489-501. doi: 10.1111/j.1528-1157.1981.tb06159.x. No abstract available.
PMID: 6790275BACKGROUNDKramer U, Kipervasser S, Shlitner A, Kuzniecky R. A novel portable seizure detection alarm system: preliminary results. J Clin Neurophysiol. 2011 Feb;28(1):36-8. doi: 10.1097/WNP.0b013e3182051320.
PMID: 21221012BACKGROUNDJanse SA, Dumanis SB, Huwig T, Hyman S, Fureman BE, Bridges JFP. Patient and caregiver preferences for the potential benefits and risks of a seizure forecasting device: A best-worst scaling. Epilepsy Behav. 2019 Jul;96:183-191. doi: 10.1016/j.yebeh.2019.04.018. Epub 2019 May 29.
PMID: 31150998BACKGROUNDJalloul N. Wearable sensors for the monitoring of movement disorders. Biomed J. 2018 Aug;41(4):249-253. doi: 10.1016/j.bj.2018.06.003. Epub 2018 Sep 11.
PMID: 30348268BACKGROUNDMuennig PA, Glied SA. What changes in survival rates tell us about us health care. Health Aff (Millwood). 2010 Nov;29(11):2105-13. doi: 10.1377/hlthaff.2010.0073. Epub 2010 Oct 7.
PMID: 20930036BACKGROUNDJohansson D, Malmgren K, Alt Murphy M. Wearable sensors for clinical applications in epilepsy, Parkinson's disease, and stroke: a mixed-methods systematic review. J Neurol. 2018 Aug;265(8):1740-1752. doi: 10.1007/s00415-018-8786-y. Epub 2018 Feb 9.
PMID: 29427026BACKGROUNDNijsen TM, Arends JB, Griep PA, Cluitmans PJ. The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy. Epilepsy Behav. 2005 Aug;7(1):74-84. doi: 10.1016/j.yebeh.2005.04.011.
PMID: 15975855BACKGROUNDHorne MK, McGregor S, Bergquist F. An objective fluctuation score for Parkinson's disease. PLoS One. 2015 Apr 30;10(4):e0124522. doi: 10.1371/journal.pone.0124522. eCollection 2015.
PMID: 25928634BACKGROUNDBeniczky S, Polster T, Kjaer TW, Hjalgrim H. Detection of generalized tonic-clonic seizures by a wireless wrist accelerometer: a prospective, multicenter study. Epilepsia. 2013 Apr;54(4):e58-61. doi: 10.1111/epi.12120. Epub 2013 Feb 8.
PMID: 23398578BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Haytham Elgammal, MD
Overwatch Digital Health
- STUDY DIRECTOR
Subha Sarcar, PhD
Bracane Company
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 24, 2020
First Posted
March 2, 2020
Study Start
March 1, 2020
Primary Completion
October 1, 2020
Study Completion
December 1, 2020
Last Updated
March 2, 2020
Record last verified: 2020-02
Data Sharing
- IPD Sharing
- Will not share