Vital Sign Sensing - MathWorks

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OLEA SENSORNETWORKSOLeaSenseTMVital Sign SensingDesign MethodologyUsing MatlabMATLAB EXPO 2018IOT INTELLIGENTSENSOR ANALYTICSOlea Systems, Inc. c/o Frank Morese9060 Double Diamond Pkwy, Suite 2A Reno, Nevada 89521Phone: 775.636.7680 e-mail: frank@oleasys.com

VITAL SIGN SENSING DEVELOPMENTProblem statement:The challenge of extracting out features from micro-doppler sensor signals thatdynamically determine the presence of life and its vital signsApproach used to solve problem:Incorporated an integrated design flow methodology for hardware, firmware,algorithm and software development.Used MATLAB tools as part of the machine learning design flow to developfeature extraction and signal processing algorithmsGenerated code for deployment on an embedded device. 2018 Olea Systems, Inc.Page 2Confidential

DESIGN FLOW USING MATLABCaptureSensor DataSignalProcessingExtractFeaturesRun ModelsPredictionA B CMATLAB Tools UsedStatistics and Machine Learning Toolbox, Signal Processing Toolbox, DSPSystem Toolbox, Wavelet Toolbox, MATLAB Compiler, Simulink ControlDesign & Simulink Design OptimizationExtracted signal after preprocessing 2018 Olea Systems, Inc.Page 3Confidential

DEVELOPMENT RESULTS USING MATLABMATLAB provided a design environment that allowed us to collect,analyze, process and extract features in an Iterative way until we achievedand verified the ultimate performance desired.By incorporating MATLAB in our design flow, we were able to generateadvanced machine learning algorithms that enabled our sensor technologyto capture medical grade vital sign data.Finally this accelerated the deployment of our embedded code in the finalproduct. 2018 Olea Systems, Inc.Page 4Confidential

INTELLIGENT IOT SENSOR NETWORKSMulti-Sensor Data FusionBody Area Network 2018 Olea Systems, Inc.Page 5Intelligent Cluster TopologyConfidentialImproved Model of theBiological System

REMOTE VITAL SENSING IOT SOLUTIONIntelligent Multi-Sensor PlatformVital SignWearable SensorHubRemote health monitoringapplicationsData can be integrated withcloud-based analytics(84mm x 35mm x 8mm)Multi-Sensor Hub with OleaSense Sensor Analytics 2018 Olea Systems, Inc.Page 6Confidential

OS-3010 VITAL SIGN SENSOR HUBOn-Board Intelligent SensorsOleaVision 24 GHz Micro-Doppler Radar SensorOptional Motion & Activity Sensors–––Tri-Axis Magnetometer (compass)Tri-Axis AccelerometerTri-Axis GyroscopeHigh-performance single-core 1GHz ARM ProcessorConnectivity––Wired (micro USB 3.0)Bluetooth Low-energy (BLE) 4.0Dimensions—10 cm x 6.5 cm x 2.8 cmWeight—Approx. 5.0 US ounces (142 grams)Rechargeable 1500mAh Li-ION battery 2018 Olea Systems, Inc.Page 7Confidential

OLEASENSE AI SOFTWAREReal-time Vital Data CapturedVital Sign Statistics Extracted by Sensor Analytics. 2018 Olea Systems, Inc.Page 8Confidential

RESPIRATORY PATTERNSOleaSense Spirometer–A Contactless sensor for measuring the air capacity ofthe lungsSpirometry - meaning the measuring of breathMost common of the pulmonary function tests(PFTs)Measuring lung function, specifically theamount (volume) and/or speed (flow) of air thatcan be inhaled and exhaled.Future diagnostics in assessing conditionssuch as asthma, pulmonary fibrosis, cysticfibrosis, and COPD. 2018 Olea Systems, Inc.Page 9ConfidentialSpirometry Diagnostics

QUADCORDER - IOT REMOTE VITAL SENSING Olea’s mission is to develop new advanced telemedicine technologies Providing innovations in remote contactless vital sign sensing 2018 Olea Systems, Inc.Page 10Confidential

THE FUSION OF TECHNOLOGY & MEDICINE Sensor Analytics Enhanced Diagnostics– Statistical Analysis– Pattern Recognition– AI Predictive Algorithms Empowered Patient Knowledge Communities 2018 Olea Systems, Inc.Page 11Machine Learning DiagnosticsConfidential

SUMMARYResults achieved:OleaSense medical-grade wireless-contactlesssensor successfully acquires vital signs (respiratory& cardiac) in real timeConnected CareOleaSense was launched in only 6 months due toits design flow methodology which incorporatedMATLB toolsWe continue to use MATLB tools for ongoing enhancements of thealgorithms for Machine Learning Diagnostic applications 2018 Olea Systems, Inc.Page 12Confidential

Sensor Data. Extract Features. Signal Processing. Run Models. Prediction. . advanced machine learning algorithms that enabled our sensor technology to capture medical grade vital sign data. Finally thisaccelerated the deployment of our embedded code in the final . Real-time Vital Data Captured Vital Sign Statistics Extracted by Sensor .