Can the Output of a Learned Classification Model Monitor a Person's Functional Recovery Status Post-Total Knee Arthroplasty?
| Autor: | Jill Emmerzaal, Arne De Brabandere, Rob van der Straaten, Johan Bellemans, Liesbet De Baets, Jesse Davis, Ilse Jonkers, Annick Timmermans, Benedicte Vanwanseele |
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| Přispěvatelé: | Davis, Jesse/0000-0002-3748-9263, Timmermans, Annick/0000-0002-5461-947X, Vanwanseele, Benedicte/0000-0002-6158-9483, Emmerzaal, Jill/0000-0002-9218-7604, jonkers, ilse/0000-0001-7611-3747, Pain in Motion, Physiotherapy, Human Physiology and Anatomy |
| Rok vydání: | 2022 |
| Předmět: |
total knee arthroplasty
Recovery of Function Walking Arthroplasty Replacement Knee/rehabilitation Osteoarthritis Knee Biochemistry osteoarthritis machine learning classification biomechanics inertial measurement units Atomic and Molecular Physics and Optics Analytical Chemistry Humans Electrical and Electronic Engineering Arthroplasty Replacement Knee Instrumentation Osteoarthritis Knee/surgery Gait |
| Zdroj: | Sensors; Volume 22; Issue 10; Pages: 3698 |
| ISSN: | 1424-8220 |
| Popis: | Osteoarthritis is a common musculoskeletal disorder. Classification models can discriminate an osteoarthritic gait pattern from that of control subjects. However, whether the output of learned models (probability of belonging to a class) is usable for monitoring a person's functional recovery status post-total knee arthroplasty (TKA) is largely unexplored. The research question is two-fold: (I) Can a learned classification model's output be used to monitor a person's recovery status post-TKA? (II) Is the output related to patient-reported functioning? We constructed a logistic regression model based on (1) pre-operative IMU-data of level walking, ascending, and descending stairs and (2) 6-week post-operative data of walking, ascending-, and descending stairs. Trained models were deployed on subjects at three, six, and 12 months post-TKA. Patient-reported functioning was assessed by the KOOS-ADL section. We found that the model trained on 6-weeks post-TKA walking data showed a decrease in the probability of belonging to the TKA class over time, with moderate to strong correlations between the model's output and patient-reported functioning. Thus, the LR-model's output can be used as a screening tool to follow-up a person's recovery status post-TKA. Person-specific relationships between the probabilities and patient-reported functioning show that the recovery process varies, favouring individual approaches in rehabilitation. We would like to thank Jan Malcorps, Jan Truijen, and Amber Bruijnes for their assistance in participant recruitment. This research was funded by Research Foundation Flanders (FWO) grand number T004716N |
| Databáze: | OpenAIRE |
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