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
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
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)