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Why Data Science Matters and How It Enables Impactful Health Outcomes - Webinar

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Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. ​We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.

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Why Data Science Matters and How It Enables Impactful Health Outcomes - Webinar

  1. 1. Why data science matters & how it enables impactful health outcomes © 2019 Valencell, Inc Dr. Steven LeBoeuf Oct 23rd, 2019
  2. 2. ©2019 Valencell. Incwww.valencell.com/patents Outline • Definition of “data science” • The big picture • Valencell’s unique approach • How data science if being used in wearables today
  3. 3. ©2019 Valencell. Incwww.valencell.com/patents Definition of “data science” The study of modeling physical phenomena via data, using advanced data analysis methods (i.e., statistics, machine learning, and related methods). Definition interpreted from: Hayashi C. (1998) What is Data Science ? Fundamental Concepts and a Heuristic Example. In: Hayashi C., Yajima K., Bock HH., Ohsumi N., Tanaka Y., Baba Y. (eds) Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Tokyo
  4. 4. ©2019 Valencell. Incwww.valencell.com/patents Three key applications of data science in biometric wearables 1) Free-living Clinical R&D: Enables new monitoring methods & therapies via free-living, longitudinal studies 2) Personalized Direction: Enables personalized health direction seamlessly, autonomously, and dynamically 3) Accurate & Convenient Multiparameter Monitoring: Addresses the problem of accurately generating a plurality of important biometrics and assessments in using a single, low- power, wearable device
  5. 5. ©2019 Valencell. Incwww.valencell.com/patents The big dream of biometric wearables – improving health outcomes with personalized direction Environmental Context Activity Context Diet & caloric intake Biometrics What foods and activities are making me more/less healthy? What environments cause me the most stress? Am I becoming hypertensive or prediabetic? Am I exercising too much or too little? Am I about to have migraine, asthma attack, spike in glucose, etc.? Am I getting the right quality of sleep? Time-of-Day Cloud Inputs Personalized Direction How does my diet affect my blood pressure? Am I at risk of a cardiovascular event? Am I over/under dosing on my medication?
  6. 6. ©2019 Valencell. Incwww.valencell.com/patents The big dream of wearable biometric sensors – being invisible & intangible Ideally, wearable sensors are completely seamless with everyday living, and one single sensor can measure everything that’s important.
  7. 7. ©2019 Valencell. Incwww.valencell.com/patents Valencell’s approach applies data science to every aspect of the wearable solution Improving sensor optomechanics Reducing artifacts caused by motion & environmental noise Generating new biometrics & improving old ones Demonstrating robust physiological assessments Demonstrating consistent/reliable user experiences
  8. 8. ©2019 Valencell. Incwww.valencell.com/patents Valencell applies machine learning to wearable R&D in developing both biometrics & personalized assessments Machine Learning Biometrics Model PPG Data Labels Biometrics Machine Learning Assessments Model Context Labels Personalized Assessments Additional Biometrics Confidence Level
  9. 9. ©2019 Valencell. Incwww.valencell.com/patents Our approach required Valencell to create new tools 1) PPG Analyzer: Enables the broader engineering team (who aren’t all data scientists) to visually analyze both PPG data and key transforms of PPG data 2) Cloud-Based PPG Data Collector: Collects PPG data (and associated contextual data) from multiple body locations simultaneously – in the field – and uploads raw PPG data to our cloud for analysis 3) Database Reporting Tool: Enables real-time visualization and reporting of up-to-date data collected in the field
  10. 10. Examples of what others are doing
  11. 11. Example 1: Non-invasive hyperkalemia screening
  12. 12. ©2019 Valencell. Incwww.valencell.com/patents
  13. 13. Example 2: Atrial fibrillation detection with PPG sensor technology
  14. 14. ©2019 Valencell. Incwww.valencell.com/patents
  15. 15. Valencell Example: Calibration-free, cuff-less blood pressure monitoring
  16. 16. ©2019 Valencell. Incwww.valencell.com/patents Valencell’s goal – create an accurate alternative to the BP cuff • Calibration-free, reflection-mode PPG-based cuff-less BP monitoring technology • Must NOT require calibration of any kind; only 3 input parameters are required: a PPG signal, a motion signal, & static biometrics (height, weight, age, and gender) • Must enable in-session BP measurements with the subject at rest (as with a BP cuff), with cuff-like tracking ranging from very low to very high BP values • Must be substantially more convenient to use on a daily basis than a BP cuff • Must be compatible with integration into a wearable device (an embedded solution) • Is NOT for use with dosing of a medication, surgery, or medical emergencies
  17. 17. ©2019 Valencell. Incwww.valencell.com/patents The PPG waveform contains a great deal of information, but sometimes you have to dig for it… Peak Amplitude (Pulse Pressure) RRi (HRV, Cardiac Functioning) Breathing Rate (Metabolic Status) Perfusion Variation Heart Rate Ideal PPG Waveform An accurate, PPG-based estimation of blood pressure, cardiac output, & other advanced metrics requires a machine learning approach
  18. 18. ©2019 Valencell. Incwww.valencell.com/patents PPG signals comprise blood pressure information, but the information can not be derived accurately using linear methods • Motion-Tolerant HR • Motion-Tolerant RRi • Motion-Tolerant PPG Magnitude • Non-Pulsatile Magnitude • Signal Quality Valencell generates numerous motion- tolerant PPG parameters each second, including the PPG magnitude, which correlates with blood pulse volume & systolic blood pressure The motion tolerant PPG magnitude (pulse volume) tracks with increasing systolic blood pressure But the nonlinearities of this relationship demand a machine learning approach Time (seconds) SystolicBloodPressure(mmHg) NormalizedPPGMagnitude(a.u.) 90-sec average trend line of Valencell’s PPG Magnitude
  19. 19. ©2019 Valencell. Incwww.valencell.com/patents Valencell’s approach comprises machine learning applied to >10,000 of datasets from >5000 subjects 1) Massive data collection Thousands of training datasets collected in the US, Vietnam, & Philippines 2) BP model development PPG-based model development utilizing machine learning tools 3) Proving generalization Model applied to test dataset collected via ISO protocol 4) Embedded solution Integrating model into Valencell’s PerformTek® biometric operating system
  20. 20. ©2019 Valencell. Incwww.valencell.com/patents Preliminary findings... • Preliminary data collection shows cuff-like tracking of BP over a full range of BP values • These results are particularly impressive, as the ISO test dataset was never used to train the BP model – the ultimate generalization test • The final report will be generated in Dec 2019 & the results are being submitted for publication in a peer-reviewed journal in Q1 2020
  21. 21. ©2019 Valencell. Incwww.valencell.com/patents Other examples of assessments created or in development using Valencell sensor parameters & machine learning • Glucose trending • Enuresis • Atrial fibrillation • Hypertension assessment • Cognitive load • Objective pain measure • Fall prediction • Hydration assessment • Lactate level • Dosing requirements • Fatigue • Stress assessment • Heart attack risk • Stroke risk
  22. 22. Q&A Open Discussion
  23. 23. ©2019 Valencell. Incwww.valencell.com/patents Dr. Steven LeBoeuf info@Valencell.com

Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. ​We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.

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