Mindset Technologies - MedTech / digital health use cases
- 1. We leverage neuroscience and machine vision to enable ▪ better medical care ▪ improved medical training by building a “pulse watch for the brain” TEASER INFO HUMAN ATTENTION IN FOCUS
- 2. Our Eyes: “Mirror of the Brain“ Our founder and CEO Christian Kusmitsch, PhD is a neuroscientist His research field is human attention, advocating: “eyes reflect brain activity“ One of his patents is applicable for this venture By interpreting a set of eye-related parameters, we can measure and predict mental load and detect irregularities in brain activity
- 3. Non-invasive brain tracking is going mainstream In the last three decades technologies to measure heart-related signals were conceptualized, developed and commercialized, gradually reaching mass-market appeal. biofeedback subject cuffs, sensors & co. traditional measurement methods modern, user-friendly solutions >> Brain-monitoring is the next frontier in biofeedback and will enable various medical applications from early detection to improved training methods EEG data from wearable pulse measurement device data from specialized AR glasses / high-end camera 1990 - 2020 2020 - 2030 We have the expert team, patent, partners and customer pipeline to record, analyze and interpret correlates of attention and cognition (e.g. eye-movements, eye-blinks), pointing at fatigue and mental irregularities.
- 4. The product We partner with several high-end augmented reality glasses manufacturers that enable us to record eye-related parameters at very high spatial and temporal resolution We analyze and compare captured data to individual history and the relevant peer group Feedback to (individual,) doctor and pool of specialists on the status and predicted pathway
- 5. Early detection use cases for children Mental health and neuro-developmental disorders Children have a high propensity to play cognitive games which can be used to retrieve psychophysiological correlates of attention, e.g. blink rate speed changes. Continuous behavioral monitoring facilitates more reliable early diagnosis (and treatment) of neurological disorders. The interpretation of unusual patterns can help detect warning signals for pathological irregularities and changes in brain function like autism and ADHD (attention deficit hyperactivity disorder).
- 6. Early diagnosis of aging-related neuro-degenerative disorders Continuous monitoring of eye-related parameters can detect early signals of mental degradation and neurodegenerative diseases, e.g. Parkinson’s and Alzheimer’s disease. In this context, interpreting eye behavior serves as proxy for pathological changes in brain function which can be induced by different factors. Changes of neurotransmitters in the brain influence eye-movement patterns which consequently significantly deviate from the norm. Early detection can have significant benefits, enabling timely treatment (e.g. cognitive training) to alleviate symptoms and improve quality of life. We have submitted a research proposal to the European Commission’s call for Active Assisted Living (AAL): http://www.aal-europe.eu/ Early detection use cases for elderly
- 7. Optimized curriculum design Testing learning content with students in AR/VR environments allows for insights on apprehension and fatigue. This enables optimization of content for easier, resource-efficient (e-)learning which results in better use of lab hours and medical equipment. Process mining and quality management Learning new skills depends both on the viewer’s attention and the underlying device design and user experience. By analyzing device usage in VR we can identify friction in the process and avoid accidents / inefficient use. We have submitted a research proposal to the European Innovation Council’s (EIC) Fast Track to Innovation (FTI) program with several international partners from the public and private sector: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/fast-track-innovation-pilot Microsoft HoloLens augmented reality support of surgical and learning environments demonstrating industry’s future https://www.linkedin.com/posts/adamdanyal_techthatmatters-surgery-healthcare-activity-6647665003585511424-AvCo https://www.linkedin.com/feed/update/urn:li:activity:6715284322758344704/ Improving medical education / training
- 8. Co-founders: Expertise in neuroscience, health and business Christian Kusmitsch, PhD Chief Executive Officer • PhD in Neuroscience, University of Vienna and University of California San Diego (UCSD) • Brain researcher at the Institute of Public Health Vienna • Management consultant focussing on pharma and healthcare • Former R&D and innovation manager at UBIMET, a Red Bull company Aladar Tepelea business development • Corporate finance and investor relations professional • Partner in strategic innovation consultancy • Connector to venture investors, lecturer on business development • Former BlackRock and Novartis strategy manager
- 9. Technical team: Deep know-how of seasoned experts Grischa Meyer, PhD Chief Technology Officer • Scientific Application/Infrastructure Specialist at Roche • Full-stack Engineer at real-time speech analysis venture • Founder of several technology startups • Senior Software Engineer and Application Architect at Monash University, responsible for architecture, development, operations for open-source data management solutions focused on large scientific data • PhD in Biophysics from University of Queensland, conducting several projects on software platforms, including one on high-performance computing Dipl.-Ing. Dr. Kurt Schröder machine vision and hardware development • Electrical and communication engineering studies at the University of Technology in Vienna • Habilitation in the field of high-power laser technology • Professor at the Department of Nonconventional Processing, Forming and Laser Technology (Faculty of Mechanical Engineering), Vienna University of Technology • Founder of iiNES - Innovative Engineering Solutions GmbH: engineering advisory for electrical and mechanical engineering; handling projects in hardware and software development focusing on measurement engineering, automation engineering, embedded systems, audio and video signal processing Christian Stampf machine learning and platform development • Former automotive IT executive • Deep learning setup and integration • Web and App development for dashboard and backend • Behavioral scientist, optimizing engagement metrics • Long-standing work experience in China and Taiwan, familiar with local cultural specificities
- 10. Christian Kronseder data science • Professor for data science at FHNW Switzerland, School of Life Sciences • ETH and Oxford University Alumnus Alexander Lorz technology platform • Founder aiso-lab: consulting enterprises on AI solutions • PhD in Applied Mathematics, University of Cambridge • Associate Professor at the Sorbonne and the Pierre and Marie Curie University • Referee for journals and institutions, e.g. Nature Communications Michael Schmutz marketing • Seasoned marketing and PR executive • Strong background in marketing of innovative technical products • Creative Director at Y&R, Wunderman Advisory board: Broad range of expertise and large network Alfred Stepan finance • Deputy Head of Finance at one of the market leaders in the health care sector • Specialist in financing R&D infrastructure Reinhard Stary strategy • Insurance top-executive, CEO/CFO/ board member in high-tech companies • LBS and Columbia University Alumnus
- 11. Why now? • Recent technological developments (high-quality camera affordability, increased frame-rates and resolution, faster CPUs, scalable neural networks for deep learning) enable us to leverage the previously conducted research of the founder • We own a patent that covers the functionalities and workflows of the product • Working prototype for dry-eye detection is ready and can be adjusted to application-specific use cases • Integrating further signals will enable us to add functionalities (e.g. pulse measured via camera filters, voice sentiment via headsets) • Trend to VR/AR and gamification is ideal for behavioral data collection (headsets) and combination of signals • Self-measurement is a growing trend (e.g. fitbit, health apps), brain signals will be a further milestone on the road to the 'quantified self' • Direct competition is overestimated: consumer(research) applications use eye-tracking to determine gaze direction for identifying points of interest which is functionally fundamentally different from vision-based attention monitoring outside of their scope.
- 12. We look for • investors, ideally 'smart money', opening doors in relevant use case verticals • corporates as clients or partners in research projects • advisory board members with domain expertise or industry network • grants and non-dilutive funding • referral partners ContactHUMANATTENTIONINFOCUS Dr. Christian Kusmitsch, co-founder CEO and Chief Neuroscientist ckusmitsch@mindset-technologies.at +43 664 511 2955 Vienna, Austria Aladar Tepelea, co-founder business development aladar.tepelea@evitive.net +41 77 9234 961 Zurich, Switzerland
- 13. Appendix
- 14. F.A.Q. – Frequently Asked Questions • How are you different from eye-tracking applications? For us gaze direction is less relevant, for our machine learning algorithms we use entirely different input variables (e.g. pupil dilation, facial blood flow) • Are you exclusively using the eyes for detecting activity / attention levels? We also use additional signals like facial blood flow and depending on the use case, we can add signals like keystrokes, (macro-)movement sensor data, voice inputs, etc. • Why do you need external hardware – could you not just use phone / screen cameras? In order to detect subtle signals like changes in blinking rate we need equipment which can process these kind of inputs. At the same time, our calculations require high amounts of processing power. Therefore they should not run on the user’s device, but on ours, externally (in order not to compromise performance). Hence, we run on a specialized chipset combined with cloud analytics. This can change in the future as hardware communication interfaces will advance. • Are companies like Tobii competition for you? Their company is focusing on gaze direction and eye-directed AR motion controls with comparatively low-resolution (of time) cameras. We use different signals, have different use cases and our partner Viewpoint System has the required hardware to record and process the high-resolution, highly calculation-intensive data.
- 15. Deploying best-in-class hardware View Point System (VPS) is a world-leading eye tracking system, made in Austria which we use to track verious KPIs related to gaze direction, pupil size and blink frequency Additionally, VPS 19 enables direct voiceline communication between headset user and experts
- 16. Our framework for medical eLearning and quality management to reduce human error through the use of virtual reality learning environments. Project proposal has been submitted to the EU grant program “Fast Track to Innovation“
- 17. Project architecture for our medical eLearning use case. Project proposal has been submitted to the EU grant program “Fast Track to Innovation“.
- 18. 2nd prio use cases: Clinical risk mitigation / insurance • Trauma detection where imminent undetected impact is likely (e.g. after accidents, surgeries, etc.) Lowering risk for patients and reducing cost (less hospitalization) through ambulant monitoring in combination with tele-medicine: continuous supervision of pupils and light reflex reaction possible via specialized camera and dedicated check-up for indications where physical trauma has been diagnosed or is likely • Pupils asymmetry diagnostics (pupil size and reflexes) allow detection of post-traumatic skull-brain injuries and can be e.g. effective indicators of bleedings post-surgery and in the healing period. An effective high-quality monitoring solution supports clinical work post-treatment.