Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic
Само за регистроване кориснике
2019
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
This paper presents the improved technique for classification of the type of lumbar discus hernia based on fuzzy logic. The reduced mobility of the foot is one of the symptoms of the disease that occurs because of the displaced discs in the space of two vertebrae. This fact was used for non-invasive discus hernia diagnosis by measuring force values from four sensors placed on both feet (first, second and fourth metatarsal head as well as the heel). Hardware and software systems were constructed for the doctor to perform the measurements and have a graphical representation during the measuring procedure. The procedure included measuring force values of 18 subjects during normal standing, standing on forefeet and heels. All subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Filtering and further preprocessing of acquired values included separation of forefeet and heel segments that were used as inputs to fuzzy system. The results showed that the accuracy of... such a fuzzy system was around 72%, and the proposed system correctly recognizes healthy individuals. Obtained information about forces on characteristic points on the foot represents useful data in diagnosis which further can be processed in order to be a supportive tool to doctors.
Кључне речи:
reduced foot mobility / foot force / hardware implementation / software implementationИзвор:
Biomedical Engineering-Biomedizinische Technik, 2019, 64, 4, 421-428Издавач:
- Walter De Gruyter Gmbh, Berlin
DOI: 10.1515/bmt-2018-0013
ISSN: 0013-5585
PubMed: 30291782
WoS: 000478760800005
Scopus: 2-s2.0-85055008264
Колекције
Институција/група
Geografski fakultetTY - JOUR AU - Peulić, Aleksandar AU - Sustersić, Tijana AU - Peulić, Miodrag PY - 2019 UR - https://gery.gef.bg.ac.rs/handle/123456789/971 AB - This paper presents the improved technique for classification of the type of lumbar discus hernia based on fuzzy logic. The reduced mobility of the foot is one of the symptoms of the disease that occurs because of the displaced discs in the space of two vertebrae. This fact was used for non-invasive discus hernia diagnosis by measuring force values from four sensors placed on both feet (first, second and fourth metatarsal head as well as the heel). Hardware and software systems were constructed for the doctor to perform the measurements and have a graphical representation during the measuring procedure. The procedure included measuring force values of 18 subjects during normal standing, standing on forefeet and heels. All subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Filtering and further preprocessing of acquired values included separation of forefeet and heel segments that were used as inputs to fuzzy system. The results showed that the accuracy of such a fuzzy system was around 72%, and the proposed system correctly recognizes healthy individuals. Obtained information about forces on characteristic points on the foot represents useful data in diagnosis which further can be processed in order to be a supportive tool to doctors. PB - Walter De Gruyter Gmbh, Berlin T2 - Biomedical Engineering-Biomedizinische Technik T1 - Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic VL - 64 IS - 4 SP - 421 EP - 428 DO - 10.1515/bmt-2018-0013 UR - https://hdl.handle.net/21.15107/rcub_gery_971 ER -
@article{ author = "Peulić, Aleksandar and Sustersić, Tijana and Peulić, Miodrag", year = "2019", abstract = "This paper presents the improved technique for classification of the type of lumbar discus hernia based on fuzzy logic. The reduced mobility of the foot is one of the symptoms of the disease that occurs because of the displaced discs in the space of two vertebrae. This fact was used for non-invasive discus hernia diagnosis by measuring force values from four sensors placed on both feet (first, second and fourth metatarsal head as well as the heel). Hardware and software systems were constructed for the doctor to perform the measurements and have a graphical representation during the measuring procedure. The procedure included measuring force values of 18 subjects during normal standing, standing on forefeet and heels. All subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Filtering and further preprocessing of acquired values included separation of forefeet and heel segments that were used as inputs to fuzzy system. The results showed that the accuracy of such a fuzzy system was around 72%, and the proposed system correctly recognizes healthy individuals. Obtained information about forces on characteristic points on the foot represents useful data in diagnosis which further can be processed in order to be a supportive tool to doctors.", publisher = "Walter De Gruyter Gmbh, Berlin", journal = "Biomedical Engineering-Biomedizinische Technik", title = "Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic", volume = "64", number = "4", pages = "421-428", doi = "10.1515/bmt-2018-0013", url = "https://hdl.handle.net/21.15107/rcub_gery_971" }
Peulić, A., Sustersić, T.,& Peulić, M.. (2019). Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic. in Biomedical Engineering-Biomedizinische Technik Walter De Gruyter Gmbh, Berlin., 64(4), 421-428. https://doi.org/10.1515/bmt-2018-0013 https://hdl.handle.net/21.15107/rcub_gery_971
Peulić A, Sustersić T, Peulić M. Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic. in Biomedical Engineering-Biomedizinische Technik. 2019;64(4):421-428. doi:10.1515/bmt-2018-0013 https://hdl.handle.net/21.15107/rcub_gery_971 .
Peulić, Aleksandar, Sustersić, Tijana, Peulić, Miodrag, "Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic" in Biomedical Engineering-Biomedizinische Technik, 64, no. 4 (2019):421-428, https://doi.org/10.1515/bmt-2018-0013 ., https://hdl.handle.net/21.15107/rcub_gery_971 .