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
=
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