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NO-TOUCH -
VITAL SIGNS
MEASUREMENT
 @NOAHConference
 @noah_conference
 @noah-conference
 @NOAHConference
FOLLOW USONSOCIAL
LED BY AN EXPERIENCED AND
COHESIVE TEAM
Amir Sadeh Dan Vesely Dr. Ran Goshen Omri Haim Dr. Ariela Alter
VITAL SIGNS MONITORING
Vital signs data is the most
fundamental factor in patient’s care
and diagnose.
They determine:
• which treatment protocols to follow
• provide critical information needed to
make life-saving decisions
• confirm feedback on treatments
performed
Today this procedure is done manually
WHEN A NURSE
WRAPS A BLOOD
PRESSURE CUFF
AROUND A
PATIENT’S ARM…
A wonderful machine
that can be wheeled
room to room to check
vitals.
…AND THAT’S THE
PROBLEM.
Introduces bacteria,
possibly MRSA
HOSPITAL ACQUIRED INFECTIONS (HAI) MARKET 2018
EXPECTED TO SURPASS $36 BILLION BY 2023
THE GLOBAL TELEMEDICINE MARKET SIZE WILL GROW BY
USD $46B DURING 2018-2022
VALUE PROPOSITION
• NTVS provides a convenient easy secure
system for provider-patient online vital signs
• Mobile/web Browser-based application
thus does not require install or software
setup
• Only webcam/phone camera
NO-TOUCH - AI VITAL SIGNS PROCESSING,
MONITORING AND DIAGNOSING SYSTEM
• Heart Rate & Rhythm
• Blood Pressure
• Respiratory Rate
• Body Temperature
• blood oxygen
THE REGION OF INTEREST (ROI) DEFINITION
The system extracts 66 landmarks from
the face.
The facial landmarks are dynamic
and may change due to the head
motions from frame-to-frame and
might be influenced by facial
muscles.
Analyzing the 66 landmarks prevent
those biases
Face segmentation (1. Forehead; 2. Cheeks; 3.
Chin; 4. Whole face; 5. Extracted skin).
SIGNAL
PROCESSING
Face detection
and tracking
Phone Camera
video
Noncontact Vital
Signs Analysis in
Visible Spectrum
by Specific Face
Regions
Analysis Reports
• Inter-beat-interval (IBI) data
from HR monitors (Polar, Suunto,
Garmin, Apple…)
• Electrocardiogram (ECG) data
SECURITY & PRIVACY
Automatic Face Blurring
ncrypted, secure sessions built
for HIPAA compliance
GO-TO-MARKET
1. Telemedicine
2. Medical device – webcam on
patient’s bed
REVENUE PLAN
Services
Sales (N) Turnover (€m)
Y1 Y2 Y3 Y1 Y2 Y3
Telemedicine
sessions
100,000
250,00
0
750,00
0
$0.5M $1.25M $3.75M
Medical
device
0 50,000
300,0
00
$0K $1M $6M
Total $0.5M $2.25M $9.75M
HEART RATE &
RHYTHM
• Heart rate variability (HRV) is the
physiological phenomenon of
variation in the time interval
between heartbeats. It is
measured by the variation in the
beat-to-beat interval
• HRV is the best non-invasive
measure of the Autonomic
Nervous System, the main
controller of health and
performance functions
A CAMERA-BASED, NON-CONTACT
BLOOD PRESSURE MONITOR
• A user-friendly, low-cost, real-time,
and non-contact technique for BP
measurement based on the detection
of photoplethysmography (PPG) using
a regular camera (webcam or mobile
device’s camera).
• Leveraging features extracted from
photoplethysmograph, an individual’s
BP can be estimated using a neural
network.
RESPIRATORY RATE DETECTION USING A
CAMERA AS CONTACTLESS SENSOR
• A video camera is used to monitor
the dots and to measure the
Respiratory Rate.
• A fully automatic method based
on contactless camera-based
technology to extract
instantaneous breathing
information
BODY
TEMPERATURE
Measuring the body temperature of the
human body based on the infrared
temperature sensor.
1. Using infrared temperature sensor to
measure the temperature of a sampling
point;
2. Calculating the average value of the
temperature falling into the effective
body temperature range, namely, the
human body temperature.
SIGNAL PROCESSING
• Analysis
• Time-domain parameters: Mean RR, SDNN, RMSSD,
pNN50, HRV triangular index, TINN etc
• Frequency-domain parameters: VLF, LF and HF band
powers, peak frequencies and LF/HF ratio Spectrum
estimation: Welch's periodogram / Lomb-Scargle
periodogram / AR spectrum estimate
• Basic nonlinear methods (Poincare plot, ApEn, SampEn,
and DFA)
• Additional nonlinear methods (Correlation dimension,
Recurrence plot, Multiscale entropy)
• ECG derived respiration for accurate respiratory sinus
arrhythmia (RSA) analysis
• Time-varying analysis (time trends for time-domain,
frequency-domain and nonlinear parameters)

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NTVS - NOAH19 Tel Aviv

  • 2.  @NOAHConference  @noah_conference  @noah-conference  @NOAHConference FOLLOW USONSOCIAL
  • 3. LED BY AN EXPERIENCED AND COHESIVE TEAM Amir Sadeh Dan Vesely Dr. Ran Goshen Omri Haim Dr. Ariela Alter
  • 4. VITAL SIGNS MONITORING Vital signs data is the most fundamental factor in patient’s care and diagnose. They determine: • which treatment protocols to follow • provide critical information needed to make life-saving decisions • confirm feedback on treatments performed Today this procedure is done manually
  • 5. WHEN A NURSE WRAPS A BLOOD PRESSURE CUFF AROUND A PATIENT’S ARM… A wonderful machine that can be wheeled room to room to check vitals. …AND THAT’S THE PROBLEM. Introduces bacteria, possibly MRSA
  • 6. HOSPITAL ACQUIRED INFECTIONS (HAI) MARKET 2018 EXPECTED TO SURPASS $36 BILLION BY 2023
  • 7. THE GLOBAL TELEMEDICINE MARKET SIZE WILL GROW BY USD $46B DURING 2018-2022
  • 8. VALUE PROPOSITION • NTVS provides a convenient easy secure system for provider-patient online vital signs • Mobile/web Browser-based application thus does not require install or software setup • Only webcam/phone camera
  • 9. NO-TOUCH - AI VITAL SIGNS PROCESSING, MONITORING AND DIAGNOSING SYSTEM • Heart Rate & Rhythm • Blood Pressure • Respiratory Rate • Body Temperature • blood oxygen
  • 10. THE REGION OF INTEREST (ROI) DEFINITION The system extracts 66 landmarks from the face. The facial landmarks are dynamic and may change due to the head motions from frame-to-frame and might be influenced by facial muscles. Analyzing the 66 landmarks prevent those biases Face segmentation (1. Forehead; 2. Cheeks; 3. Chin; 4. Whole face; 5. Extracted skin).
  • 11. SIGNAL PROCESSING Face detection and tracking Phone Camera video Noncontact Vital Signs Analysis in Visible Spectrum by Specific Face Regions Analysis Reports • Inter-beat-interval (IBI) data from HR monitors (Polar, Suunto, Garmin, Apple…) • Electrocardiogram (ECG) data
  • 12. SECURITY & PRIVACY Automatic Face Blurring ncrypted, secure sessions built for HIPAA compliance
  • 13. GO-TO-MARKET 1. Telemedicine 2. Medical device – webcam on patient’s bed
  • 14. REVENUE PLAN Services Sales (N) Turnover (€m) Y1 Y2 Y3 Y1 Y2 Y3 Telemedicine sessions 100,000 250,00 0 750,00 0 $0.5M $1.25M $3.75M Medical device 0 50,000 300,0 00 $0K $1M $6M Total $0.5M $2.25M $9.75M
  • 15.
  • 16. HEART RATE & RHYTHM • Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval • HRV is the best non-invasive measure of the Autonomic Nervous System, the main controller of health and performance functions
  • 17. A CAMERA-BASED, NON-CONTACT BLOOD PRESSURE MONITOR • A user-friendly, low-cost, real-time, and non-contact technique for BP measurement based on the detection of photoplethysmography (PPG) using a regular camera (webcam or mobile device’s camera). • Leveraging features extracted from photoplethysmograph, an individual’s BP can be estimated using a neural network.
  • 18. RESPIRATORY RATE DETECTION USING A CAMERA AS CONTACTLESS SENSOR • A video camera is used to monitor the dots and to measure the Respiratory Rate. • A fully automatic method based on contactless camera-based technology to extract instantaneous breathing information
  • 19. BODY TEMPERATURE Measuring the body temperature of the human body based on the infrared temperature sensor. 1. Using infrared temperature sensor to measure the temperature of a sampling point; 2. Calculating the average value of the temperature falling into the effective body temperature range, namely, the human body temperature.
  • 20. SIGNAL PROCESSING • Analysis • Time-domain parameters: Mean RR, SDNN, RMSSD, pNN50, HRV triangular index, TINN etc • Frequency-domain parameters: VLF, LF and HF band powers, peak frequencies and LF/HF ratio Spectrum estimation: Welch's periodogram / Lomb-Scargle periodogram / AR spectrum estimate • Basic nonlinear methods (Poincare plot, ApEn, SampEn, and DFA) • Additional nonlinear methods (Correlation dimension, Recurrence plot, Multiscale entropy) • ECG derived respiration for accurate respiratory sinus arrhythmia (RSA) analysis • Time-varying analysis (time trends for time-domain, frequency-domain and nonlinear parameters)