Comfort level classification during patients transport
Apstrakt
BACKGROUND: Passenger comfort is affected by many factors. Patient comfort is even more specific due to its mental and physical health condition. OBJECTIVE: Developing a system for monitoring patient transport conditions with the comfort level classification, which is affected by the patient parameters. METHODS: Smartphone with the developed Android application was installed in an EMS to monitor patient transport between medical institutions. As a result, 10 calculated parameters are generated in addition to the GPS data and the subjective comfort level. Three classifiers are used to classify the transportation. At the end, the adjustment of classified comfort levels is performed based on the patient's medical condition, age and gender. RESULTS: Modified SVM classifier provided the best overall classification results with the precision of 90.8%. Furthermore, a model that represents patient sensitivity to transport vibration, based on the patient's medical condition, is proposed and the... final classification results are presented. CONCLUSIONS: The Android application is mobile, simple to install and use. According to the obtained results, SVM and Naive Bayes classifier gave satisfying results while KNN should be avoided. The developed model takes transport comfort and the patient's medical condition into consideration, so it is suitable for the patient transport comfort classification.
Ključne reči:
Accelerometer / Android / patients transport / comfort / multi-class classificationIzvor:
Technology and Health Care, 2019, 27, 1, 61-77Izdavač:
- IOS Press, Amsterdam
Finansiranje / projekti:
- Razvoj i modelovanje energetski efikasnih, adaptabilnih, višeprocesorskih i višesenzorskih elektronskih sistema male snage (RS-MESTD-Technological Development (TD or TR)-32043)
DOI: 10.3233/THC-181411
ISSN: 0928-7329
PubMed: 30562912
WoS: 000479323100006
Scopus: 2-s2.0-85061066421
Kolekcije
Institucija/grupa
Geografski fakultetTY - JOUR AU - Jovanović, Željko AU - Milošević, Marina AU - Janković, Dragan AU - Peulić, Aleksandar PY - 2019 UR - https://gery.gef.bg.ac.rs/handle/123456789/970 AB - BACKGROUND: Passenger comfort is affected by many factors. Patient comfort is even more specific due to its mental and physical health condition. OBJECTIVE: Developing a system for monitoring patient transport conditions with the comfort level classification, which is affected by the patient parameters. METHODS: Smartphone with the developed Android application was installed in an EMS to monitor patient transport between medical institutions. As a result, 10 calculated parameters are generated in addition to the GPS data and the subjective comfort level. Three classifiers are used to classify the transportation. At the end, the adjustment of classified comfort levels is performed based on the patient's medical condition, age and gender. RESULTS: Modified SVM classifier provided the best overall classification results with the precision of 90.8%. Furthermore, a model that represents patient sensitivity to transport vibration, based on the patient's medical condition, is proposed and the final classification results are presented. CONCLUSIONS: The Android application is mobile, simple to install and use. According to the obtained results, SVM and Naive Bayes classifier gave satisfying results while KNN should be avoided. The developed model takes transport comfort and the patient's medical condition into consideration, so it is suitable for the patient transport comfort classification. PB - IOS Press, Amsterdam T2 - Technology and Health Care T1 - Comfort level classification during patients transport VL - 27 IS - 1 SP - 61 EP - 77 DO - 10.3233/THC-181411 UR - https://hdl.handle.net/21.15107/rcub_gery_970 ER -
@article{ author = "Jovanović, Željko and Milošević, Marina and Janković, Dragan and Peulić, Aleksandar", year = "2019", abstract = "BACKGROUND: Passenger comfort is affected by many factors. Patient comfort is even more specific due to its mental and physical health condition. OBJECTIVE: Developing a system for monitoring patient transport conditions with the comfort level classification, which is affected by the patient parameters. METHODS: Smartphone with the developed Android application was installed in an EMS to monitor patient transport between medical institutions. As a result, 10 calculated parameters are generated in addition to the GPS data and the subjective comfort level. Three classifiers are used to classify the transportation. At the end, the adjustment of classified comfort levels is performed based on the patient's medical condition, age and gender. RESULTS: Modified SVM classifier provided the best overall classification results with the precision of 90.8%. Furthermore, a model that represents patient sensitivity to transport vibration, based on the patient's medical condition, is proposed and the final classification results are presented. CONCLUSIONS: The Android application is mobile, simple to install and use. According to the obtained results, SVM and Naive Bayes classifier gave satisfying results while KNN should be avoided. The developed model takes transport comfort and the patient's medical condition into consideration, so it is suitable for the patient transport comfort classification.", publisher = "IOS Press, Amsterdam", journal = "Technology and Health Care", title = "Comfort level classification during patients transport", volume = "27", number = "1", pages = "61-77", doi = "10.3233/THC-181411", url = "https://hdl.handle.net/21.15107/rcub_gery_970" }
Jovanović, Ž., Milošević, M., Janković, D.,& Peulić, A.. (2019). Comfort level classification during patients transport. in Technology and Health Care IOS Press, Amsterdam., 27(1), 61-77. https://doi.org/10.3233/THC-181411 https://hdl.handle.net/21.15107/rcub_gery_970
Jovanović Ž, Milošević M, Janković D, Peulić A. Comfort level classification during patients transport. in Technology and Health Care. 2019;27(1):61-77. doi:10.3233/THC-181411 https://hdl.handle.net/21.15107/rcub_gery_970 .
Jovanović, Željko, Milošević, Marina, Janković, Dragan, Peulić, Aleksandar, "Comfort level classification during patients transport" in Technology and Health Care, 27, no. 1 (2019):61-77, https://doi.org/10.3233/THC-181411 ., https://hdl.handle.net/21.15107/rcub_gery_970 .