Numerical Optimisation of a NIRS Device for Monitoring Tissue Oxygen Saturation
The present work aims to develop a wearable, textile-integrated NIRS-based tissue oxygen saturation (StO ) monitor for alerting mobility-restricted individuals - such as paraplegics - of critical tissue oxygen de-saturation in the regions such as the sacrum and the ischial tuberosity; these regions...
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| Veröffentlicht in: | Advances in experimental medicine and biology Jg. 1395; S. 411 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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2022
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| ISSN: | 0065-2598 |
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| Abstract | The present work aims to develop a wearable, textile-integrated NIRS-based tissue oxygen saturation (StO
) monitor for alerting mobility-restricted individuals - such as paraplegics - of critical tissue oxygen de-saturation in the regions such as the sacrum and the ischial tuberosity; these regions are proven to be extremely susceptible to the development of pressure injuries (PI).Using a combination of numerical methods including finite element analysis, image reconstruction, stochastic gradient descent with momentum (SGDm) and genetic algorithms, a methodology was developed to define the optimal combination of wavelengths and source-detector geometry needed for measuring the StO
in tissue up to depths of 3 cm. The sensor design was optimised to account for physiologically relevant adipose tissue thicknesses (ATT) between 1 mm and 5 mm. The approach assumes only a priori knowledge of the optical properties of each of the three tissue layers used in the model (skin, fat, muscle) based on the absorption and scattering coefficients of four chromophores (O
Hb, HHb, H
O and lipid).The results show that the selected wavelengths as well as the source-detector geometries and number of sources and detectors depend on ATT and the degree and volume of the hypoxic regions. As a result of a genetic algorithm used to combine the various optimised designs into a single sensor layout, a group of four wavelengths was chosen, coinciding with the four chromophores and agreeing very well with literature. The optimised number of source points and detector points and their geometry resulted in good reconstruction of the StO
across a wide range of layer geometries. |
|---|---|
| AbstractList | The present work aims to develop a wearable, textile-integrated NIRS-based tissue oxygen saturation (StO2) monitor for alerting mobility-restricted individuals - such as paraplegics - of critical tissue oxygen de-saturation in the regions such as the sacrum and the ischial tuberosity; these regions are proven to be extremely susceptible to the development of pressure injuries (PI).Using a combination of numerical methods including finite element analysis, image reconstruction, stochastic gradient descent with momentum (SGDm) and genetic algorithms, a methodology was developed to define the optimal combination of wavelengths and source-detector geometry needed for measuring the StO2 in tissue up to depths of 3 cm. The sensor design was optimised to account for physiologically relevant adipose tissue thicknesses (ATT) between 1 mm and 5 mm. The approach assumes only a priori knowledge of the optical properties of each of the three tissue layers used in the model (skin, fat, muscle) based on the absorption and scattering coefficients of four chromophores (O2Hb, HHb, H2O and lipid).The results show that the selected wavelengths as well as the source-detector geometries and number of sources and detectors depend on ATT and the degree and volume of the hypoxic regions. As a result of a genetic algorithm used to combine the various optimised designs into a single sensor layout, a group of four wavelengths was chosen, coinciding with the four chromophores and agreeing very well with literature. The optimised number of source points and detector points and their geometry resulted in good reconstruction of the StO2 across a wide range of layer geometries.The present work aims to develop a wearable, textile-integrated NIRS-based tissue oxygen saturation (StO2) monitor for alerting mobility-restricted individuals - such as paraplegics - of critical tissue oxygen de-saturation in the regions such as the sacrum and the ischial tuberosity; these regions are proven to be extremely susceptible to the development of pressure injuries (PI).Using a combination of numerical methods including finite element analysis, image reconstruction, stochastic gradient descent with momentum (SGDm) and genetic algorithms, a methodology was developed to define the optimal combination of wavelengths and source-detector geometry needed for measuring the StO2 in tissue up to depths of 3 cm. The sensor design was optimised to account for physiologically relevant adipose tissue thicknesses (ATT) between 1 mm and 5 mm. The approach assumes only a priori knowledge of the optical properties of each of the three tissue layers used in the model (skin, fat, muscle) based on the absorption and scattering coefficients of four chromophores (O2Hb, HHb, H2O and lipid).The results show that the selected wavelengths as well as the source-detector geometries and number of sources and detectors depend on ATT and the degree and volume of the hypoxic regions. As a result of a genetic algorithm used to combine the various optimised designs into a single sensor layout, a group of four wavelengths was chosen, coinciding with the four chromophores and agreeing very well with literature. The optimised number of source points and detector points and their geometry resulted in good reconstruction of the StO2 across a wide range of layer geometries. The present work aims to develop a wearable, textile-integrated NIRS-based tissue oxygen saturation (StO ) monitor for alerting mobility-restricted individuals - such as paraplegics - of critical tissue oxygen de-saturation in the regions such as the sacrum and the ischial tuberosity; these regions are proven to be extremely susceptible to the development of pressure injuries (PI).Using a combination of numerical methods including finite element analysis, image reconstruction, stochastic gradient descent with momentum (SGDm) and genetic algorithms, a methodology was developed to define the optimal combination of wavelengths and source-detector geometry needed for measuring the StO in tissue up to depths of 3 cm. The sensor design was optimised to account for physiologically relevant adipose tissue thicknesses (ATT) between 1 mm and 5 mm. The approach assumes only a priori knowledge of the optical properties of each of the three tissue layers used in the model (skin, fat, muscle) based on the absorption and scattering coefficients of four chromophores (O Hb, HHb, H O and lipid).The results show that the selected wavelengths as well as the source-detector geometries and number of sources and detectors depend on ATT and the degree and volume of the hypoxic regions. As a result of a genetic algorithm used to combine the various optimised designs into a single sensor layout, a group of four wavelengths was chosen, coinciding with the four chromophores and agreeing very well with literature. The optimised number of source points and detector points and their geometry resulted in good reconstruction of the StO across a wide range of layer geometries. |
| Author | Cantieni, T Ansari, N Sharma, K Wolf, U González, M Boesel, L Rastija, T Morlec, E Camenzind, M Piai, G Michler, M da Silva-Kress, Oliver Grabher, R |
| Author_xml | – sequence: 1 givenname: Oliver surname: da Silva-Kress fullname: da Silva-Kress, Oliver email: oliver.kress@unibe.ch organization: Institute of Complementary and Integrative Medicine, University of Bern, Bern, Switzerland. oliver.kress@unibe.ch – sequence: 2 givenname: T surname: Cantieni fullname: Cantieni, T organization: Institute of Complementary and Integrative Medicine, University of Bern, Bern, Switzerland – sequence: 3 givenname: M surname: González fullname: González, M organization: Institute for Microtechnology and Photonics, OST Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland – sequence: 4 givenname: M surname: Michler fullname: Michler, M organization: Institute for Microtechnology and Photonics, OST Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland – sequence: 5 givenname: T surname: Rastija fullname: Rastija, T organization: Institute for Electronics, Sensors and Actuators, OST Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland – sequence: 6 givenname: R surname: Grabher fullname: Grabher, R organization: Institute for Electronics, Sensors and Actuators, OST Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland – sequence: 7 givenname: G surname: Piai fullname: Piai, G organization: Institute for Electronics, Sensors and Actuators, OST Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland – sequence: 8 givenname: N surname: Ansari fullname: Ansari, N organization: Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland – sequence: 9 givenname: K surname: Sharma fullname: Sharma, K organization: Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland – sequence: 10 givenname: E surname: Morlec fullname: Morlec, E organization: Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland – sequence: 11 givenname: M surname: Camenzind fullname: Camenzind, M organization: Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland – sequence: 12 givenname: L surname: Boesel fullname: Boesel, L organization: Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland – sequence: 13 givenname: U surname: Wolf fullname: Wolf, U organization: Institute of Complementary and Integrative Medicine, University of Bern, Bern, Switzerland |
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| Keywords | Tissue oxygen saturation (StO2) Hypoxia Wearable device Pressure injury |
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| Snippet | The present work aims to develop a wearable, textile-integrated NIRS-based tissue oxygen saturation (StO
) monitor for alerting mobility-restricted individuals... The present work aims to develop a wearable, textile-integrated NIRS-based tissue oxygen saturation (StO2) monitor for alerting mobility-restricted individuals... |
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| SubjectTerms | Humans Hypoxia Oxygen Oxygen Consumption - physiology Oxygen Saturation Spectroscopy, Near-Infrared - methods |
| Title | Numerical Optimisation of a NIRS Device for Monitoring Tissue Oxygen Saturation |
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