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Initial study of low cost crepitus joint degradation finding using acoustic localization

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dc.contributor.authorLeong Y.W.en_US
dc.contributor.authorSeki H.en_US
dc.contributor.authorAnuar A.en_US
dc.contributor.authorNadarajan C.en_US
dc.contributor.authorJusoh M.H.B.en_US
dc.contributor.authorJalal M.F.B.A.en_US
dc.contributor.authorSee O.H.en_US
dc.contributor.authorSahari K.S.B.M.en_US
dc.contributor.authorid26326032700en_US
dc.contributor.authorid7202492680en_US
dc.contributor.authorid13609166500en_US
dc.contributor.authorid57189373332en_US
dc.contributor.authorid57215962371en_US
dc.contributor.authorid37116431100en_US
dc.contributor.authorid16023044400en_US
dc.contributor.authorid57218170038en_US
dc.date.accessioned2023-05-29T08:07:00Z
dc.date.available2023-05-29T08:07:00Z
dc.date.issued2020
dc.descriptionCosts; Data acquisition; Gradient methods; Microphones; Software engineering; Time difference of arrival; 'current; Acoustic localization; Acoustic method; Aoa (angleof-arrival); Crepitus; Localisation; Low-costs; Medical practitioner; Set-ups; Triboacoustic; Diagnosisen_US
dc.description.abstractCurrent methods of joint diagnosis depend on invasive, radiative methods, large set ups and requiring skilled operators, which are still not able to assess the joint during motion. Replacing these methods are acoustic methods, which are only able to diagnose joint health based on the characteristics sound emitted by a moving joint. This paper looks into informing the medical practitioner of the locations of joint damage instead, hence the feasibility of localizing upon the damaged part of the joint, which is represented by a playback of a recording of crepitus sounds emitted from a human joint in 2 dimensional settings. Three microphones, an earphone and a data acquisition device were used to implement the testing. Using the time-difference-of-arrival (TDOA) between the 3 sensors, the Angle-of-Arrival (AOA) method was used to attain the initial localization coordinates. These coordinates were then fed into a gradient descent algorithm to reduce the positioning error of the AOA method, yielding the final position results. Results show that the developed system is able to achieve localization errors of less than 1.0 cm. Copyright � JCSSE 2020 - 17th International Joint Conf. on Computer Science and Software Engineering.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9268433
dc.identifier.doi10.1109/JCSSE49651.2020.9268433
dc.identifier.epage5
dc.identifier.scopus2-s2.0-85098525316
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85098525316&doi=10.1109%2fJCSSE49651.2020.9268433&partnerID=40&md5=aaf0776caec9bf551fe24d372372dfb7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25155
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleJCSSE 2020 - 17th International Joint Conference on Computer Science and Software Engineering
dc.titleInitial study of low cost crepitus joint degradation finding using acoustic localizationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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