Processing and analysis of signals for diagnosing the condition of a hip joint endoprosthesis

One of the problems associated with hip arthroplasty is that the endoprosthesis is subjected to significant mechanical loads, which can lead to its destruction. Revision surgeries aimed at determining the condition of the prosthesis are complex and expensive, in addition, they are asso-ciated with the need for the patient to arrive at a medical facility and be hospitalized. An approach to diagnosing a hip endoprosthesis during the patient's normal life is proposed, based on the analysis of vibration and sound oscillations taken from the body surface using a device developed for this purpose based on a three-axis accelerometer. The device for recording vibration and sound oscillations has small dimensions and weight, is fixed on the ilium and practically does not limit the patient's movements during signal recording. The signals are recorded in digital form on a memory card, which, after measurements are taken, can be removed from the device and used to transfer the recording to a computer for processing and analysis. Analysis of the records of signals obtained experimentally allowed to identify signs of various defects (partial abrasion of the polyethylene liner, complete abrasion of the liner and loosening of the prosthesis stem in the area of its attachment to the femur). Statistics are proposed for making a decision when testing hypotheses about the presence/absence of these defects. The results of the experiments are presented.

Authors

Publication Details

Journal
Proceedings of the Russian higher school Academy of sciences
Published
2024-12-26
DOI
https://doi.org/10.17212/1727-2769-2024-4-48-63
Citations
1
Primary Topic
Engineering Technology and Methodologies
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Processing and analysis of signals for diagnosing the condition of a hip joint endoprosthesis

В. В. Павлов, Mikhail A. Rajfeld, Baikozho R. Tashtanov, Darya O. Sokolova et al.
1 citations
Proceedings of the Russian higher school Academy of sciences
Engineering Technology and Methodologies
0.35
article

Processing and analysis of signals for diagnosing the condition of a hip joint endoprosthesis

В. В. Павлов, Mikhail A. Rajfeld, Baikozho R. Tashtanov, Darya O. Sokolova, Vasily N. Vasyukov
article en
1 citations

Abstract

One of the problems associated with hip arthroplasty is that the endoprosthesis is subjected to significant mechanical loads, which can lead to its destruction. Revision surgeries aimed at determining the condition of the prosthesis are complex and expensive, in addition, they are asso-ciated with the need for the patient to arrive at a medical facility and be hospitalized. An approach to diagnosing a hip endoprosthesis during the patient's normal life is proposed, based on the analysis of vibration and sound oscillations taken from the body surface using a device developed for this purpose based on a three-axis accelerometer. The device for recording vibration and sound oscillations has small dimensions and weight, is fixed on the ilium and practically does not limit the patient's movements during signal recording. The signals are recorded in digital form on a memory card, which, after measurements are taken, can be removed from the device and used to transfer the recording to a computer for processing and analysis. Analysis of the records of signals obtained experimentally allowed to identify signs of various defects (partial abrasion of the polyethylene liner, complete abrasion of the liner and loosening of the prosthesis stem in the area of its attachment to the femur). Statistics are proposed for making a decision when testing hypotheses about the presence/absence of these defects. The results of the experiments are presented.

Proceedings of the Russian higher school Academy of sciences(4)
Openalex Percentile: Top 32%
Engineering Technology and Methodologies
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.