PowerPoint Presentation

PRESENTERKian SaneiiCEOIndependa, Inc.

@ksaneii

| 4:30 PM - 5:00 PMLive From the Frontlines in Digital Health

PRESENTERDavid SchieCEO Linear Dimensions

@LinDimensions

PRESENTERShireen YatesCEO and Co-Founder 6SensorLabs

@shireenyates

#DigitalHealthCES

Applying Cognitive Machine Learning to Digital Health

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Q2 11Q112Q113Q314Q415

Q312Q114Q115Arm Bands&PatchesReference PlatformsBrainwave + ECG/Pulse +Audio HeadsetSP17 ECG MonitorCognitive MachineLearning EngineCognitive AnalysisOptimized SensorsCognitive LearningOptimized HardwareSecurity2016Q111FoundedHow We Got Here

Digital HealthCognitive Security

Digital HealthWhite Label &Platforms

Cognitive AnalogAnalysis Chip

Apps &Software

www.cardiaclock.comBooth #74139 | 408-914-5185

RB: Is the AccuID going to be complete in the next four weeks?2

Up to 1000x Faster for the Same Power as DSPCognitive Analog AnalysisEnables PC Like Processing on Small Devices

Ideal for Pattern Search and MatchingBypassing the Digital Domain

www.cardiaclock.comBooth #74139 | 408-914-5185

FingerprintOptical or capacitive ridge sensors create an image. Recognition vectors are derived from common feature extraction stored aeats a recognition vector.

ECG ScanAn analogous image is derived from the electrical signals emitted by the muscles within the heart. Linears PEAL solution derives images which are used like a unique fingerprint.

Galvanic Skin Response (GSR)Electrocardiogram

Electromyography

Ideal for Digital Health ApplicationsCognitive Analog AnalysisVitals Tracking in Noisy EnvironmentsBioElectrical Identification for SecurityA Multi-Dimensional Appearance Based Approachwww.cardiaclock.com

4Pix are OK, but can we state more simply that FP uses image points to create a recognition vecotor and ECG with LDs proprietary signal processing derives a similar unique recognition vector using a heart beat

Real Time FeedbackMulti-Dimensional AFE*

Cognitive Analysis

Sensors

Cognitive Analog AnalysisAI Physician 2000 Example

PhotoplethysmogramBlood PressureElectrocardiogram*Analog Front EndiPhonewww.cardiaclock.comBooth #74139 | 408-914-5185

AI Physician + iPhone = Your Personal Health TrackerElectrocardiography (ECG or EKG)Pulse Transfer Time (Blood Pressure Trend)Skin Impedance, Blood Oxygen, UV, Hydration, GSR, HRV, Sleep, Balance, Respiration, Dizziness, Motion, Audio, TempMultiple Sensor TechnologiesCustom Analog and Mixed-Signal ASIC TechnologyArtificial Intelligence Adaptive Algorithmic ProcessingBluetooth Low Energy Wireless ConnectivityMicro-USB Charger, Accelerometer & SD Card StorageAI Health Interview App. Note: Not FDA Approved.Not for sale where prohibited by law.

Home ScreenUV IndexElectrocardiogramPhotoplethysmogramFitness TrainingMeditationHRV AssessmentSession Analytics

Blood PressureAI Physician Smart iPhone Cover

Cognitive Analog AnalysisChanging Peoples Lives, Putting You in Control of your Healthwww.cardiaclock.comAIP2000

Booth #74139 | 408-914-5185

FingerprintOptical or capacitive ridge sensors create an image. Recognition vectors are derived from common feature extraction stored aeats a recognition vector.

ECG ScanAn analogous image is derived from the electrical signals emitted by the muscles within the heart. Linears PEAL solution derives images which are used like a unique fingerprint.BioElectric Security

Galvanic Skin Response (GSR)Electrocardiogram

ElectromyographyYou Are the PasswordEKG, Respiration, EMG, (EOG if avail)BioID: FNMR*: 0.4%, FMR**: 0.1%Fingerprint1: FNMR: 3%, FMR: 0.1%

*False Non-Match Rate**False Match Rate1Capacitive Fingerprint

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7Pix are OK, but can we state more simply that FP uses image points to create a recognition vecotor and ECG with LDs proprietary signal processing derives a similar unique recognition vector using a heart beat

Compatible with Multiple Form FactorsCognitive Analog AnalysisSimilar Level of Security to Fingerprint

Significantly Lower Cost than FingerprintChanging Peoples Lives, Now You Are the Password

Combine with Fingerprint for High Level Security

Passwords will be a Thing of the Pastwww.cardiaclock.comBooth #74139 | 408-914-5185

WELCOME TO DAY 2#DigitalHealthCES