A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors
Electrical Impedance Tomography (EIT) is a medical imaging technique that has been recently used to realize stretchable pressure sensors. In this method, voltage measurements are taken at electrodes placed at the boundary of the sensor and are used to reconstruct an image of the applied touch pressu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/9/1999 |
| _version_ | 1811183928692703232 |
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| author | Stefania Russo Samia Nefti-Meziani Nicola Carbonaro Alessandro Tognetti |
| author_facet | Stefania Russo Samia Nefti-Meziani Nicola Carbonaro Alessandro Tognetti |
| author_sort | Stefania Russo |
| collection | DOAJ |
| description | Electrical Impedance Tomography (EIT) is a medical imaging technique that has been recently used to realize stretchable pressure sensors. In this method, voltage measurements are taken at electrodes placed at the boundary of the sensor and are used to reconstruct an image of the applied touch pressure points. The drawback with EIT-based sensors, however, is their low spatial resolution due to the ill-posed nature of the EIT reconstruction. In this paper, we show our performance evaluation of different EIT drive patterns, specifically strategies for electrode selection when performing current injection and voltage measurements. We compare voltage data with Signal-to-Noise Ratio (SNR) and Boundary Voltage Changes (BVC), and study image quality with Size Error (SE), Position Error (PE) and Ringing (RNG) parameters, in the case of one-point and two-point simultaneous contact locations. The study shows that, in order to improve the performance of EIT based sensors, the electrode selection strategies should dynamically change correspondingly to the location of the input stimuli. In fact, the selection of one drive pattern over another can improve the target size detection and position accuracy up to 4.7% and 18%, respectively. |
| first_indexed | 2024-04-11T13:05:03Z |
| format | Article |
| id | doaj.art-6c545f35a71f4b63a7e814a5479eb51e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:05:03Z |
| publishDate | 2017-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6c545f35a71f4b63a7e814a5479eb51e2022-12-22T04:22:49ZengMDPI AGSensors1424-82202017-08-01179199910.3390/s17091999s17091999A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable SensorsStefania Russo0Samia Nefti-Meziani1Nicola Carbonaro2Alessandro Tognetti3Autonomous System and Robotics Research Centre, University of Salford, Manchester M5 4WT, UKAutonomous System and Robotics Research Centre, University of Salford, Manchester M5 4WT, UKResearch Centre E. Piaggio, University of Pisa, 56122 Pisa, ItalyResearch Centre E. Piaggio, University of Pisa, 56122 Pisa, ItalyElectrical Impedance Tomography (EIT) is a medical imaging technique that has been recently used to realize stretchable pressure sensors. In this method, voltage measurements are taken at electrodes placed at the boundary of the sensor and are used to reconstruct an image of the applied touch pressure points. The drawback with EIT-based sensors, however, is their low spatial resolution due to the ill-posed nature of the EIT reconstruction. In this paper, we show our performance evaluation of different EIT drive patterns, specifically strategies for electrode selection when performing current injection and voltage measurements. We compare voltage data with Signal-to-Noise Ratio (SNR) and Boundary Voltage Changes (BVC), and study image quality with Size Error (SE), Position Error (PE) and Ringing (RNG) parameters, in the case of one-point and two-point simultaneous contact locations. The study shows that, in order to improve the performance of EIT based sensors, the electrode selection strategies should dynamically change correspondingly to the location of the input stimuli. In fact, the selection of one drive pattern over another can improve the target size detection and position accuracy up to 4.7% and 18%, respectively.https://www.mdpi.com/1424-8220/17/9/1999stretchable sensorconductive fabricinverse problemperformance parameters |
| spellingShingle | Stefania Russo Samia Nefti-Meziani Nicola Carbonaro Alessandro Tognetti A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors Sensors stretchable sensor conductive fabric inverse problem performance parameters |
| title | A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors |
| title_full | A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors |
| title_fullStr | A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors |
| title_full_unstemmed | A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors |
| title_short | A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors |
| title_sort | quantitative evaluation of drive pattern selection for optimizing eit based stretchable sensors |
| topic | stretchable sensor conductive fabric inverse problem performance parameters |
| url | https://www.mdpi.com/1424-8220/17/9/1999 |
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