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