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    • Home
    • About GP-RPM™
    • Applications
    • Demo
    • Technology
    • Solutions
    • Q&A
    • Industry News
    • Contact Us
  • Home
  • About GP-RPM™
  • Applications
  • Demo
  • Technology
  • Solutions
  • Q&A
  • Industry News
  • Contact Us

Technology Highlights

Core Achievements

  • Applied deep learning Convolutional Neural Network (CNN) models to established multi-context deep learning framework.
  • Trained CNN models to integrate relevant inputs, including rPPG signals, motion and robust luminance in order to produce accurate corresponding vital sign measurements.

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Technology Background

rPPG Technology

Heart Rate with rPPG

Heart Rate with rPPG

Remote photoplethysmography (rPPG) is a contactless technology that uses videos of faces to extract health parameters.  rPPG uses reflected ambient light to measure subtle changes under the skin of human face. It utilizes the color image of human face captured by the camera to conduct independent component analysis (ICA) on RGB (Red, Gree

Remote photoplethysmography (rPPG) is a contactless technology that uses videos of faces to extract health parameters.  rPPG uses reflected ambient light to measure subtle changes under the skin of human face. It utilizes the color image of human face captured by the camera to conduct independent component analysis (ICA) on RGB (Red, Green, Blue) three-channel signals and restore the observed signal to a clean original signal.


GP-RPM™ has been built around 12 issued USPTO patents.

Heart Rate with rPPG

Heart Rate with rPPG

Heart Rate with rPPG

Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of the human body. While traditional HR monitors usually require contact with skin, remote photoplethysmography (rPPG) enables contactless HR monitoring by capturing subtle light changes of skin through a video camera. With recent success of deep

Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of the human body. While traditional HR monitors usually require contact with skin, remote photoplethysmography (rPPG) enables contactless HR monitoring by capturing subtle light changes of skin through a video camera. With recent success of deep learning (DL) methods for image and video analysis we have applied such techniques to various parts of the remote physiological signal extraction pipeline. 


The US FDA has given device clearance on the Heart Rate signal provided by GP-RPM™.

Usage & Monitoring

Usage & Monitoring

Usage & Monitoring

Main Usage


  • Chronic Mental Health Conditions: 

Depression, anxiety, PTSD and substance misuse

  • After acute inpatient psychiatric care: 

 To better transition patients back home and prevent readmission


Monitoring Types


  • Heart Rate Monitor: To Track if patients are experiencing arrhythmia, anxiety, depression, stress, anger or PTSD
  • Motion Tracker
  • Sle

Main Usage


  • Chronic Mental Health Conditions: 

Depression, anxiety, PTSD and substance misuse

  • After acute inpatient psychiatric care: 

 To better transition patients back home and prevent readmission


Monitoring Types


  • Heart Rate Monitor: To Track if patients are experiencing arrhythmia, anxiety, depression, stress, anger or PTSD
  • Motion Tracker
  • Sleep Tracker
  • ECG: Monitor HRV
  • Body Temperature: Some patients develop extremely high body temperature up to 41°C when they are exposed to emotional events. In contrast, others show the constant low-grade high temperature of 37 to 38°C during situations of chronic stress

Issued US Patents

Usage & Monitoring

Usage & Monitoring

  1. Non-contact Heartbeat Rate Measurement System
  2. Facial Expression Recognition Training System and Training Method
  3. People-flow Analysis System and Method
  4. Physiological Information Detection Device and Method
  5. 3D Human Facce Reconstruction Method
  6. Image Based Blood Pressure Monitoring Method
  7. Contactless-Type Sport Training Monitor Method
  8. Method for As

  1. Non-contact Heartbeat Rate Measurement System
  2. Facial Expression Recognition Training System and Training Method
  3. People-flow Analysis System and Method
  4. Physiological Information Detection Device and Method
  5. 3D Human Facce Reconstruction Method
  6. Image Based Blood Pressure Monitoring Method
  7. Contactless-Type Sport Training Monitor Method
  8. Method for Assessing Driver Fatigue
  9. Biological Image Processing Method and Detection Device
  10. Method of Liveness Detection and Related Device
  11. Device and Method for Liveness Detection
  12. Home Information System with Function of Non-Contact Imaging-based Physiological Signal Measurement

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