VitAlgos
SATHeart develops and implement vital sign monitoring algorithms called VitAlgos and specializes in cardiac, vascular and breathing health parameters using wearable optical sensors.
These algorithms are optimized for embedded platforms (wearables, hearables, portables) and can also be implemented on Cloud computers. Our algorithms are based on either photoplethysmogram (PPG) or heart interbeat intervals (limited features). We have divided them into three categories: Heart, Breathe and Vascular.
The algorithms are available for licensing or potential co-development with partners. Contact us for more information about this service. SATHeart also provides consultancy services on biomedical algorithm design and implementation for embedded platforms or cloud computers.
Heart

Heart Rate and Heart Rate Variability are essential features of this package. We also have a Heart-Brain Synchronization metric which essentially quantifies the heart rhythm responsiveness to breathing and blood pressure variations. Additional Signal Quality Indices are also provided. These indices are also computed from heart interbeat intervals from selected third party devices or from our finger camera App.
Breathe

This package additionally offers breathing rate and a breathing score associated with a Signal Quality Index. This feature is fully implemented using optical sensors or in a limited quality using heart interbeat intervals. Part of these indices are also computed from heart interbeat intervals from selected third party devices or from our finger camera App.
Vascular

This is the complete package of our algorithms which contains peripheral oxygen pressure (SpO2) and Vessel Stiffness. Signal Quality Indices are also provided. This package can be extended to the estimation of the pulse wave velocity and systolic and diastolic blood pressure (work in progress). Some parts of the algorithm are deployed on cloud computers.
Please find here a list of our current features. Contact us for more details if you are interested to use these algorithms on your platform (wearable, earable, portable, cloud).
References
Peter H Charlton , Patrick Celka, Bushra Farukh, Phil Chowienczyk and Jordi Alastruey, Assessing mental stress from the photoplethysmogram: a numerical study, Physiological measurement 39.5 (2018): 054001
Patrick Celka, Peter H. Charlton, Bushra Farukh, Philip Chowienczyk, Jordi Alastruey, Influence of mental stress on the pulse wave features of photoplethysmograms, Healthcare technology letters 7.1 (2020): 7
Patrick Celka, Niclas Granqvist, Herbert Schwabl, Michaël Lutz, Edouard Carton and Jonathan Baut, Heart Rhythms Analysis from Photoplethysmogram, SATHeart Internal Report, December 16, 2020
Patrick Celka, Niclas Granqvist, Herbert Schwabl, Michaël Lutz, Edouard Carton and Jonathan Baut, Estimation of SpO2 at the Upper Arm, SATHeart Internal Report, December 21, 2020
Patrick Celka, Niclas Granqvist, Herbert Schwabl, Michaël Lutz, Breathing Rhythms Extraction from Photophethysmogram, SATHeart Internal Report, January 23, 2021
Patrick Celka, Niclas Granqvist, Herbert Schwabl, Michaël Lutz, Pulse Wave Velocity and Blood Pressure Estimation from Photoplethysmogram, SATHeart Internal Report, May 2, 2021
Patrick Celka, Niclas Granqvist, Herbert Schwabl, Self-Coordination: The Signal Shape Factor, SATHeart Internal Report, June 14, 2021
Patrick Celka, Niclas Granqvist, Herbert Schwabl, Energy Balance: Holistic Health Quantification, SATHeart Internal Report, June 13, 2021
If you are interested to have copies of some of these articles please contact us.
SATHeart Team