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Bracco Filippo <filippo.bracco@mail.polimi.it>
Di Vece Chiara <chiara.divece@mail.polimi.it>
Massari Tommaso <tommaso.massari@mail.polimi.it>
–Giovanni Mela
“Inserisci qui una citazione”.
BIE-PInCS
Brain Injury Evaluation through Pupillometry
based on INfrared Camera System
Seminar Room @DEIB
Politecnico di Milano
28th June 2017
First cause of death in industrialized countries
among young people: 2M cases per year,
globally speaking[1]; imposes considerable
costs for health systems.
2Problem
TRAUMATIC BRAIN INJURY
Medical evaluation of pupillary reflex is affected
by subjectivity, non-repeatability, low
accuracy [2]
[1]Source:Tagliaferri, Fernanda, et al. "A systematic review of brain injury epidemiology in Europe." Acta neurochirurgica 148.3 (2006): 255-268.
[2] Clinical Utility of an Automated Pupillometer in Patients with Acute Brain Lesion. Jeong Goo Park, M.D., Chang Taek Moon, M.D., Ph.D., Dong Sun Park, M.D., Sang Woo Song, M.D.
Department of Neurosurgery, Konkuk University Medical Center, Seoul, Korea
3Solution
We propose an automated infrared
pupillometer for detection and evaluation of
TBI. Analysis is based on an integrated test
of pupillary light reflex and impaired eye
movement.
- Increase in evaluation precision
- Increase in cure quality
4
Technology
SoC
+
Reliability of measure is due to
high frequency acquisition
infrared camera.
Computation of big amount of data
is done in real time thanks to
hardware acceleration on FPGA
(Xilinx PYNQ-Z1 board)
Market and customers
Our customer segment includes:
The global brain monitoring market is growing. It is expected to
reach USD 12.22 Billion by 2021 from USD 8.80 Billion in 2016
Go to market
Our idea is to directly reach First Aid
and Hospitals. First, since BIE-PInCS
is a medical device, a mandatory step
is to achieve:
• demonstration of conformity with
general safety and performance
requirement;
• Patent and certification.
Competitive analysis
Low cost
High cost
High
accurancy & reflexes
Low
accurancy & reflexes
Roadmap
June 2017 Accurancy test
December
2017 Prototype
January
2018 Clinical validation
9
Team
Chiara Di Vece
Tommaso MassariFilippo Bracco
filippo.bracco@mail.polimi.it
chiara.divece@mail.polimi.it
tommaso.massari@mail.polimi.it
Biomedical Engineering
B.Sc. student
Biomedical Engineering
B.Sc. student
M. Computer Science
Engineering student
Thanks for your
attention
Feel free to contact us:
<tommaso.massari@mail.polimi.it>
<chiara.divece@mail.polimi.it>
<filippo.bracco@mail.polimi.it>
<biepincs@gmail.com> https://www.facebook.com/BIEPInCSatNECST
https://twitter.com/BIEPInCSatNECST
https://www.slideshare.net/BIEPInCS

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BIE-PInCS market analysis

  • 1. Bracco Filippo <filippo.bracco@mail.polimi.it> Di Vece Chiara <chiara.divece@mail.polimi.it> Massari Tommaso <tommaso.massari@mail.polimi.it> –Giovanni Mela “Inserisci qui una citazione”. BIE-PInCS Brain Injury Evaluation through Pupillometry based on INfrared Camera System Seminar Room @DEIB Politecnico di Milano 28th June 2017
  • 2. First cause of death in industrialized countries among young people: 2M cases per year, globally speaking[1]; imposes considerable costs for health systems. 2Problem TRAUMATIC BRAIN INJURY Medical evaluation of pupillary reflex is affected by subjectivity, non-repeatability, low accuracy [2] [1]Source:Tagliaferri, Fernanda, et al. "A systematic review of brain injury epidemiology in Europe." Acta neurochirurgica 148.3 (2006): 255-268. [2] Clinical Utility of an Automated Pupillometer in Patients with Acute Brain Lesion. Jeong Goo Park, M.D., Chang Taek Moon, M.D., Ph.D., Dong Sun Park, M.D., Sang Woo Song, M.D. Department of Neurosurgery, Konkuk University Medical Center, Seoul, Korea
  • 3. 3Solution We propose an automated infrared pupillometer for detection and evaluation of TBI. Analysis is based on an integrated test of pupillary light reflex and impaired eye movement. - Increase in evaluation precision - Increase in cure quality
  • 4. 4 Technology SoC + Reliability of measure is due to high frequency acquisition infrared camera. Computation of big amount of data is done in real time thanks to hardware acceleration on FPGA (Xilinx PYNQ-Z1 board)
  • 5. Market and customers Our customer segment includes: The global brain monitoring market is growing. It is expected to reach USD 12.22 Billion by 2021 from USD 8.80 Billion in 2016
  • 6. Go to market Our idea is to directly reach First Aid and Hospitals. First, since BIE-PInCS is a medical device, a mandatory step is to achieve: • demonstration of conformity with general safety and performance requirement; • Patent and certification.
  • 7. Competitive analysis Low cost High cost High accurancy & reflexes Low accurancy & reflexes
  • 8. Roadmap June 2017 Accurancy test December 2017 Prototype January 2018 Clinical validation
  • 9. 9 Team Chiara Di Vece Tommaso MassariFilippo Bracco filippo.bracco@mail.polimi.it chiara.divece@mail.polimi.it tommaso.massari@mail.polimi.it Biomedical Engineering B.Sc. student Biomedical Engineering B.Sc. student M. Computer Science Engineering student
  • 10. Thanks for your attention Feel free to contact us: <tommaso.massari@mail.polimi.it> <chiara.divece@mail.polimi.it> <filippo.bracco@mail.polimi.it> <biepincs@gmail.com> https://www.facebook.com/BIEPInCSatNECST https://twitter.com/BIEPInCSatNECST https://www.slideshare.net/BIEPInCS