Auditory display of knee-joint vibration signals.
Sounds generated due to rubbing of knee-joint surfaces may lead to a potential tool for noninvasive assessment of articular cartilage degeneration. In the work reported in the present paper, an attempt is made to perform computer-assisted auscultation of knee joints by auditory display (AD) of vibration signals (also known as vibroarthrographic or VAG signals) emitted during active movement of the leg. Two types of AD methods are considered: audification and sonification. In audification, the VAG signals are scaled in time and frequency using a time-frequency distribution to facilitate aural analysis. In sonification, the instantaneous mean frequency and envelope of the VAG signals are derived and used to synthesize sounds that are expected to facilitate more accurate diagnosis than the original signals by improving their aural quality. Auditory classification experiments were performed by two orthopedic surgeons with 37 VAG signals including 19 normal and 18 abnormal cases. Sensitivity values (correct detection of abnormality) of 31%, 44%, and 83%, and overall classification accuracies of 53%, 40%, and 57% were obtained with the direct playback, audification, and sonification methods, respectively. The corresponding d' scores were estimated to be 1.10. -0.36, and 0.55. The high sensitivity of the sonification method indicates that the technique could lead to improved detection of knee-joint abnormalities; however, additional work is required to improve its specificity and achieve better overall performance.
Krishnan
S
S
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada.
Rangayyan
R M
RM
Bell
G D
GD
Frank
C B
CB
D000162:Acoustics; D001307:Auditory Perception / Q000502:physiology*; D002358:Cartilage, Articular / Q000473:pathology; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D007719:Knee Joint / Q000502:physiology*; D008954:Models, Biological; D012680:Sensitivity and Specificity; D013016:Sound; D014732:Vibration