Bioimpedance Sensor and Methodology for Acute Pain Monitoring
The paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical an...
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| Format: | Article |
| Sprog: | English |
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MDPI AG
2020-11-01
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| Serier: | Sensors |
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| Online adgang: | https://www.mdpi.com/1424-8220/20/23/6765 |
| _version_ | 1827701417603760128 |
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| author | Mihaela Ghita Martine Neckebroek Jasper Juchem Dana Copot Cristina I. Muresan Clara M. Ionescu |
| author_facet | Mihaela Ghita Martine Neckebroek Jasper Juchem Dana Copot Cristina I. Muresan Clara M. Ionescu |
| author_sort | Mihaela Ghita |
| collection | DOAJ |
| description | The paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical and experimental analysis. A non-invasive, low-cost reliable sensor to measure skin impedance is designed with off-the-shelf components. This is a second generation prototype for pain detection, quantification, and modeling, with the objective to be used in fully anesthetized patients undergoing surgery. The 2D and 3D time–frequency, multi-frequency evaluation of impedance data is based on broadly available signal processing tools. Furthermore, fractional-order impedance models are implied to provide an indication of change in tissue dynamics correlated with absence/presence of nociceptor stimulation. The unique features of the proposed sensor enhancements are described and illustrated here based on mechanical and thermal tests and further reinforced with previous studies from our first generation prototype. |
| first_indexed | 2024-03-10T14:32:16Z |
| format | Article |
| id | doaj.art-a443e4bc60324f4abde8d7c7502b42d4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:32:16Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a443e4bc60324f4abde8d7c7502b42d42023-11-20T22:28:04ZengMDPI AGSensors1424-82202020-11-012023676510.3390/s20236765Bioimpedance Sensor and Methodology for Acute Pain MonitoringMihaela Ghita0Martine Neckebroek1Jasper Juchem2Dana Copot3Cristina I. Muresan4Clara M. Ionescu5Research Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, BelgiumDepartment of Anesthesia, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, BelgiumResearch Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, BelgiumResearch Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, BelgiumDepartment of Automation, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, RomaniaResearch Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, BelgiumThe paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical and experimental analysis. A non-invasive, low-cost reliable sensor to measure skin impedance is designed with off-the-shelf components. This is a second generation prototype for pain detection, quantification, and modeling, with the objective to be used in fully anesthetized patients undergoing surgery. The 2D and 3D time–frequency, multi-frequency evaluation of impedance data is based on broadly available signal processing tools. Furthermore, fractional-order impedance models are implied to provide an indication of change in tissue dynamics correlated with absence/presence of nociceptor stimulation. The unique features of the proposed sensor enhancements are described and illustrated here based on mechanical and thermal tests and further reinforced with previous studies from our first generation prototype.https://www.mdpi.com/1424-8220/20/23/6765noninvasive pain sensorelectrical impedance spectroscopytime–frequency analysismodel identificationfractional-order impedance modelnociceptive stimulation |
| spellingShingle | Mihaela Ghita Martine Neckebroek Jasper Juchem Dana Copot Cristina I. Muresan Clara M. Ionescu Bioimpedance Sensor and Methodology for Acute Pain Monitoring Sensors noninvasive pain sensor electrical impedance spectroscopy time–frequency analysis model identification fractional-order impedance model nociceptive stimulation |
| title | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
| title_full | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
| title_fullStr | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
| title_full_unstemmed | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
| title_short | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
| title_sort | bioimpedance sensor and methodology for acute pain monitoring |
| topic | noninvasive pain sensor electrical impedance spectroscopy time–frequency analysis model identification fractional-order impedance model nociceptive stimulation |
| url | https://www.mdpi.com/1424-8220/20/23/6765 |
| work_keys_str_mv | AT mihaelaghita bioimpedancesensorandmethodologyforacutepainmonitoring AT martineneckebroek bioimpedancesensorandmethodologyforacutepainmonitoring AT jasperjuchem bioimpedancesensorandmethodologyforacutepainmonitoring AT danacopot bioimpedancesensorandmethodologyforacutepainmonitoring AT cristinaimuresan bioimpedancesensorandmethodologyforacutepainmonitoring AT claramionescu bioimpedancesensorandmethodologyforacutepainmonitoring |