ACS Applied Computer Science

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APPLICATION OF ACOUSTIC SIGNAL PROCESSING METHODS IN DETECTING DIFFERENCES BETWEEN OPEN AND CLOSED KINEMATIC CHAIN MOVEMENT FOR THE KNEE JOINT

The paper presents results of preliminary research of analysis of signals recorded for open and closed kinematic chain in one volunteer with chondromalacia in both knees. The preliminary research was conducted in order to establish the accuracy of the proposed method and will be used for formulating further research areas. The aim of the paper is to show how FFT, recurrence plots and recurrence quantification analysis (RQA) can help in bioacoustic signals analysis.

  • APA 6th style
Karpiński, R., Machrowska, A., & Maciejewski, M. (2019). Application of acoustic signal processing methods in detecting differences between open and closed kinematic chain movement for the knee joint. Applied Computer Science, 15(1), 36-48. doi:10.23743/acs-2019-03
  • Chicago style
Karpiński, Robert, Anna Machrowska, and Marcin Maciejewski. "Application of Acoustic Signal Processing Methods in Detecting Differences between Open and Closed Kinematic Chain Movement for the Knee Joint." Applied Computer Science 15, no. 1 (2019): 36-48.
  • IEEE style
R. Karpiński, A. Machrowska, and M. Maciejewski, "Application of acoustic signal processing methods in detecting differences between open and closed kinematic chain movement for the knee joint," Applied Computer Science, vol. 15, no. 1, pp. 36-48, 2019, doi: 10.23743/acs-2019-03.
  • Vancouver style
Karpiński R, Machrowska A, Maciejewski M. Application of acoustic signal processing methods in detecting differences between open and closed kinematic chain movement for the knee joint. Applied Computer Science. 2019;15(1):36-48.