We shine light on your performance, by quantifying oxygenation in your muscle tissue.
Validated by the golden standard in NIRS, powered by Artinis Medical Systems.
We teamed-up with the Austrian Institute of Technology to translate data to usable insights for any sports enthusiast.
In order to contract, your muscles need energy. This energy comes from breaking down ATP.
The most efficient pathways in creating ATP, require oxygen.
We measure muscle oxygen.
Every single one of your body’s cells has a constant need for oxygen. To cope with this constant demand for oxygen, an adequate supply is needed through circulation.
When you breathe in, oxygen binds to the heme component of hemoglobin in your red blood cells. This bright red substance is transferred to your tissue to supply their needs.
During exercise, the need for oxygen becomes bigger.
How can you measure inside the body, without opening the body? With optical oximetry, and
near infrared spectroscopy (NIRS) in particular, we can assess the oxygenation status and hemodynamics in various organs, for example, your muscle tissue.
NIRS is based on two characteristics of human tissue.
- The relative transparency of tissue to light in the NIR range,
- The oxygenation-dependent light-absorbing characteristics of hemoglobin.
Infrared light passes through human tissue without you feeling or damaging anything, it
is comparable with shining a flashlight through your fingertip.
By using different wavelengths, the relative changes in hemoglobin concentration can be measured and visualized continuously.
This biological data is no rocket science for exercise physiologists, but since not every athlete
has a team of scientists backing them up, we aim to make these insights accessible for every individual.
This is an ongoing process.
Our ecosystem is adaptive and constantly further improving.
One of the first steps we have taken to make this data useful for everyone is classifying data from your muscle into 5 states. Our smart and adaptive algorithm uses relative concentration changes and the absolute percentage of oxygen to determine whether your muscle is recovering, working at a light intensity, working at a moderate but sustainable effort, when you’re mainly working anaerobic and when your muscle’s load is rising.
How Near Infrared Spectroscopy (NIRS) started
NIRS started with a paper published by Frans Jöbsis in Science (1977), Jöbsis reported that biological tissues are relatively transparent to light in the near infrared (700-1300 nm) region.
Therefore, it is possible to transmit enough photons through organs for in situ monitoring. In this near infrared region, hemoglobin - including its two main variants oxyhemoglobin (O2Hb) and deoxyhemoglobin (HHb)- exhibits oxygen-dependent absorption. Hemoglobin is assumed to be the main chromophore in biological tissue that absorbs light in this near infrared region.
If the absorption is known, the Beer-Lambert law can be used to calculate the chromophore's absorption. The Lambert-Beer law is given by:
ODλ = Log (I0/I) = ελ * c * L
ODλ is a dimensionless factor known as the optical density of the medium, I0 is the incident light, I the transmitted light, ελ the chromophore's extinction coefficient (in µM-1•cm-1), c is the concentration (in µM) of the chromophore, L the distance (in cm) between light entry and exit points and λ is the wavelength used (in nm).
The Beer-Lambert law is intended to be used in a transparent, non-scattering medium. When it is applied to a scattering medium , e.g. biological tissue, a dimensionless pathlength correction factor must be incorporated. This factor, sometimes called the differential pathlength factor (DPF), accounts for the increase in optical pathlength due to scattering in the tissue. The modified Beer-Lambert law for a scattering medium is given by:
Δc = ΔODλ / (ελ * L * DPF)
where ODλ represents the oxygen-independent optical losses due to scattering and absorption in the tissue. Assuming that ODλ is constant during a NIRS measurement, we can convert the change in optical density into a change in concentration.
This equation is valid for a medium with one chromophore. If more chromophores are involved, we need to measure at least as many wavelengths as there are chromophores present. This results in a set of linear equations. The solution of this set leads to the algorithm used in most NIRS systems. A scattering medium makes it possible to
measure the absorption with the near infrared source and detector parallel to each other. This offers the opportunity to measure oxygenation in larger tissues, e.g. muscles and brain using NIRS equipment.
Defining the algorithm used by NIRS requires the spectral extinction coefficients of the various chromophores. The spectra of the two main chromophores, O2Hb and HHb.
The sum of O2Hb and HHb is a measure of the total blood volume (tHb) in the tissue. Muscle tissue contains two further chromophores: oxy- and deoxymyoglobin (O2Mb and HMb). In order to distinguish between hemoglobin and myoglobin in muscle tissue, the spectra need to be sufficiently different. Unfortunately this is not the case in the near infrared region of the spectrum. This means, NIRS cannot distinguish if the measured oxygen concentration is carried by hemoglobin or myoglobin. The wavelengths which can distinguish the Hb and Mb are not able to penetrate the tissue deep enough.
What’s the difference between NIRS and pulse oximetry?
The technique on which near infrared spectroscopy relies is closely analogous to the technique of pulse oximetry.
The main difference is the tissue being sampled. Pulse oximetry calculates the percentage of oxygenated hemoglobin in the arterial blood. NIRS calculates the changes in oxy- and deoxyhemoglobin (and optionally the percentage of oxygenated hemoglobin) in the tissue under investigation (capillaries), which contains both arterial and venous blood.