Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape
Monitoring blood oxygen levels is vital for tracking various respiratory diseases like bronchitis, pneumonia, COPD, and critical care patients, including those with COVID-19. SpO2 devices, calculating oxygen percentage via finger or earlobe tissue, play a crucial role. Field studies have revealed co...
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Firat University
2025-02-01
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| Series: | Firat University Journal of Experimental and Computational Engineering |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/3687369 |
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| author | Cafer Budak Özge Üstüner |
| author_facet | Cafer Budak Özge Üstüner |
| author_sort | Cafer Budak |
| collection | DOAJ |
| description | Monitoring blood oxygen levels is vital for tracking various respiratory diseases like bronchitis, pneumonia, COPD, and critical care patients, including those with COVID-19. SpO2 devices, calculating oxygen percentage via finger or earlobe tissue, play a crucial role. Field studies have revealed concerns regarding the accuracy of SpO2 measurements due to high deviations, particularly in patients with low oxygen saturation, prompting the initiation of this study to ensure accurate interpretation of the device's measurements. Using a linear regression algorithm, SpO2 values from different bands were classified for quality. Tolerance values and deviation thresholds for each band were recommended. Additionally, linear regression aimed to save time by making result estimations with less data, facilitating more device monitoring and frequent testing. Results closely matched actual values, suggesting contributions to more frequent application and rapid interpretation. Following the European standard 80601-2-61, measurements were taken from three pulse oximeter brands (Contec MS100 model simulator) in three bands: 70-79%, 80-89%, and 90-100% SpO2. For each measurement, an Arms curve graph was generated using linear regression, and the mean square error (MSE) and Arms values were calculated to evaluate devices. In conclusion, deviation rates increase at low oxygen saturation levels, and recommended % SpO2 deviation values were proposed for each band and device quality. |
| format | Article |
| id | doaj-art-a61ffe5fc5134f76bb2e809e67e61e1f |
| institution | DOAJ |
| issn | 2822-2881 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Firat University |
| record_format | Article |
| series | Firat University Journal of Experimental and Computational Engineering |
| spelling | doaj-art-a61ffe5fc5134f76bb2e809e67e61e1f2025-08-20T02:54:58ZengFirat UniversityFirat University Journal of Experimental and Computational Engineering2822-28812025-02-014111110.62520/fujece.14264921769Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring TapeCafer Budak0https://orcid.org/0000-0002-8470-4579Özge Üstüner1https://orcid.org/0009-0008-3602-3593DİCLE ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİDicle Üniversitesi Fen Bilimleri EnstitüsüMonitoring blood oxygen levels is vital for tracking various respiratory diseases like bronchitis, pneumonia, COPD, and critical care patients, including those with COVID-19. SpO2 devices, calculating oxygen percentage via finger or earlobe tissue, play a crucial role. Field studies have revealed concerns regarding the accuracy of SpO2 measurements due to high deviations, particularly in patients with low oxygen saturation, prompting the initiation of this study to ensure accurate interpretation of the device's measurements. Using a linear regression algorithm, SpO2 values from different bands were classified for quality. Tolerance values and deviation thresholds for each band were recommended. Additionally, linear regression aimed to save time by making result estimations with less data, facilitating more device monitoring and frequent testing. Results closely matched actual values, suggesting contributions to more frequent application and rapid interpretation. Following the European standard 80601-2-61, measurements were taken from three pulse oximeter brands (Contec MS100 model simulator) in three bands: 70-79%, 80-89%, and 90-100% SpO2. For each measurement, an Arms curve graph was generated using linear regression, and the mean square error (MSE) and Arms values were calculated to evaluate devices. In conclusion, deviation rates increase at low oxygen saturation levels, and recommended % SpO2 deviation values were proposed for each band and device quality.https://dergipark.org.tr/tr/download/article-file/3687369spo2pulse oximetryoxygen saturationarmslinear regressionspo2pulse oksimetreoksijen satürasyonuarmslineer regresyon |
| spellingShingle | Cafer Budak Özge Üstüner Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape Firat University Journal of Experimental and Computational Engineering spo2 pulse oximetry oxygen saturation arms linear regression spo2 pulse oksimetre oksijen satürasyonu arms lineer regresyon |
| title | Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape |
| title_full | Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape |
| title_fullStr | Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape |
| title_full_unstemmed | Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape |
| title_short | Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape |
| title_sort | recommending tolerance value for spo2 devices with linear regression based on measuring tape |
| topic | spo2 pulse oximetry oxygen saturation arms linear regression spo2 pulse oksimetre oksijen satürasyonu arms lineer regresyon |
| url | https://dergipark.org.tr/tr/download/article-file/3687369 |
| work_keys_str_mv | AT caferbudak recommendingtolerancevalueforspo2deviceswithlinearregressionbasedonmeasuringtape AT ozgeustuner recommendingtolerancevalueforspo2deviceswithlinearregressionbasedonmeasuringtape |