b-Value: A Potential Biomarker for Assessing Knee-Joint Health Using Acoustical Emission Sensing

This article explores the novel application of an automated b -value extraction algorithm for the interpretation of sounds produced by the knee joint during movement. Acoustical emissions were recorded from a total of eight subjects with acute knee injuries a first time, within one week of the injur...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE sensors letters Ročník 2; číslo 4; s. 1 - 4
Hlavní autori: Jeong, Hyeon Ki, Whittingslow, Daniel, Inan, Omer T.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.12.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> {b}</tex-math> </inline-formula>-value
Acoustic emission testing
Acoustic measurements
acoustical emissions
Acoustics
Algorithms
Biomarkers
Biomedical monitoring
Computing time
Emission analysis
Injuries
Joints (anatomy)
Knee
knee health
Machine learning
Microphones
Recovery
Rehabilitation
Seismology
Sensors signal processing
wearable sensing
Wearable sensors
knee health
wearable sensing
Acoustical emissions
b-value
ISSN:2475-1472, 2475-1472
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:This article explores the novel application of an automated b -value extraction algorithm for the interpretation of sounds produced by the knee joint during movement. Acoustical emissions were recorded from a total of eight subjects with acute knee injuries a first time, within one week of the injury, then a second time, four to six months following corrective surgery and rehabilitation. The data were collected from each subject using miniature electret microphones placed on the medial and lateral sides of the patella during knee flexion and extension exercises. From the acoustical signals measured from each subject, we computed the b -value using the modified Gutenberg-Richter equation, which is widely used in seismology. The b -value increased for each subject's injured knee from immediately following the injury to several months post recovery. [mean b -value: 1.46 ± 0.35 (injured) and 1.92 ± 0.21 (postsurgery and recovery), p < 0.01]. In addition, we compared this analysis technique against an unsupervised machine learning algorithm from our previous work and found that the b -value metric can be as effective to differentiate changes in the joint sounds as our prior approach while requiring less computational time and complexity-both of which are preferable for future integration of this technology into a wearable system.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Senior Member, IEEE
ISSN:2475-1472
2475-1472
DOI:10.1109/LSENS.2018.2871981