SBIR-STTR Award

Digital Video Monitor and Analysis of Seizures with EEG
Award last edited on: 5/29/09

Sponsored Program
SBIR
Awarding Agency
NIH : NINDS
Total Award Amount
$2,297,670
Award Phase
2
Solicitation Topic Code
-----

Principal Investigator
Yiqing Liang

Company Information

Clever Sys Inc (AKA: CSI~Clever Systems Inc~CleverSys Inc)

11425 Isaac Newton Square Suite 202
Reston, VA 20190
   (703) 787-6946
   sales@cleversysinc.com
   www.cleversysinc.com
Location: Single
Congr. District: 11
County: Fairfax

Phase I

Contract Number: 1R43NS044658-01A1
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
2003
Phase I Amount
$138,096
The behavioral components of electrographic seizures in rodents, primarily rats and mice, are generally used as the most fundamental basis for the presence of epileptic seizures. Numerous research grants use analysis of animal seizures as a fundamental component of the research, even research aimed at molecular and cellular mechanisms. The abnormal behaviors during a motor seizure are generally distinctive, but a certain degree of subjectivity is present from one laboratory to another. With the development of sophisticated electrodes for multiple recordings and the availability of radiotelemetry systems, the potential to combine automated studies of seizure behavior and electrographic seizure activity is now possible. We propose to develop and validate behavioral algorithms for identifying, classifying and quantifying the motor components of different types of seizures in mice and rats using digital video technology. We will define the behavioral components of different classes of seizures, and to do this in conjunction with electrographic seizures from EEG recordings. These behaviors will include but not be limited to unilateral and bilateral forelimb clonus and the assumption of a lordotic posture, with a characteristic positioning of the tail. A system that allows combined analysis of EEG and behavior will be fully developed to meet the demand from research laboratories at universities and pharmaceutical companies.

Thesaurus Terms:
biomedical equipment development, computer program /software, computer system design /evaluation, digital imaging, electroencephalography, epilepsy, neuromuscular system, video recording system behavior test, monitoring device, muscle function, myoclonus epilepsy, telemetry laboratory mouse, laboratory rat

Phase II

Contract Number: 2R44NS044658-02
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2005
(last award dollars: 2007)
Phase II Amount
$2,159,574

we propose to develop a completely functioning prototype system for automated and high-throughput seizure detection and classification in animals, mainly in mice or rats or guinea, based on semiology (video record). The purposes of the project are to first develop technologies and tools that can automatically detect seizures through visual observation; then further classify those seizures according to a classification scheme when possible. The video detection and classification approach will complement EEG analysis approach to achieve accurate and precise results. These detection and classification will be conducted in high throughput mode to meet the increasing demand. This technology will open a new avenue to detecting and analyzing seizures besides traditional ictal epileptiform (EEG) recording analysis, and can greatly improve the results of detection and classification of seizures in rodents, thus providing an extremely powerful tool in epilepsy research. This technology will also improve the quality and alleviate the burden of observing rodents' seizures and achieve more objective and consistent analysis. The technology will also contribute to homeland security for chemical defense. For this purpose, this project will include studies in the areas of behavioral research, epilepsy and seizure observation and analysis, computer algorithm design, as well as complete system integration. We will make use of the technologies for digital video processing and analysis that we have developed with past DARPA projects and our current NIMH and NIDA projects