Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases
One of the important aspects to be considered in rheumatic and musculoskeletal diseases is the patient’s activity capacity (or performance), defined as the ability to perform a task. Currently, it is assessed by physicians or health professionals mainly by means of a patient-reported questionnaire,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/16/12/2151 |
| _version_ | 1811184850183389184 |
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| author | Lieven Billiet Thijs Willem Swinnen Rene Westhovens Kurt de Vlam Sabine Van Huffel |
| author_facet | Lieven Billiet Thijs Willem Swinnen Rene Westhovens Kurt de Vlam Sabine Van Huffel |
| author_sort | Lieven Billiet |
| collection | DOAJ |
| description | One of the important aspects to be considered in rheumatic and musculoskeletal diseases is the patient’s activity capacity (or performance), defined as the ability to perform a task. Currently, it is assessed by physicians or health professionals mainly by means of a patient-reported questionnaire, sometimes combined with the therapist’s judgment on performance-based tasks. This work introduces an approach to assess the activity capacity at home in a more objective, yet interpretable way. It offers a pilot study on 28 patients suffering from axial spondyloarthritis (axSpA) to demonstrate its efficacy. Firstly, a protocol is introduced to recognize a limited set of six transition activities in the home environment using a single accelerometer. To this end, a hierarchical classifier with the rejection of non-informative activity segments has been developed drawing on both direct pattern recognition and statistical signal features. Secondly, the recognized activities should be assessed, similarly to the scoring performed by patients themselves. This is achieved through the interval coded scoring (ICS) system, a novel method to extract an interpretable scoring system from data. The activity recognition reaches an average accuracy of 93.5%; assessment is currently 64.3% accurate. These results indicate the potential of the approach; a next step should be its validation in a larger patient study. |
| first_indexed | 2024-04-11T13:19:26Z |
| format | Article |
| id | doaj.art-a80efff2d1aa45c2b220be2de63108c3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:19:26Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a80efff2d1aa45c2b220be2de63108c32022-12-22T04:22:16ZengMDPI AGSensors1424-82202016-12-011612215110.3390/s16122151s16122151Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal DiseasesLieven Billiet0Thijs Willem Swinnen1Rene Westhovens2Kurt de Vlam3Sabine Van Huffel4KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Kasteelpark Arenberg 10 box 2446, 3001 Leuven, BelgiumUniversity Hospitals Leuven, Division of Rheumatology, Herestraat 49 box 7003, 3000 Leuven, BelgiumUniversity Hospitals Leuven, Division of Rheumatology, Herestraat 49 box 7003, 3000 Leuven, BelgiumUniversity Hospitals Leuven, Division of Rheumatology, Herestraat 49 box 7003, 3000 Leuven, BelgiumKU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Kasteelpark Arenberg 10 box 2446, 3001 Leuven, BelgiumOne of the important aspects to be considered in rheumatic and musculoskeletal diseases is the patient’s activity capacity (or performance), defined as the ability to perform a task. Currently, it is assessed by physicians or health professionals mainly by means of a patient-reported questionnaire, sometimes combined with the therapist’s judgment on performance-based tasks. This work introduces an approach to assess the activity capacity at home in a more objective, yet interpretable way. It offers a pilot study on 28 patients suffering from axial spondyloarthritis (axSpA) to demonstrate its efficacy. Firstly, a protocol is introduced to recognize a limited set of six transition activities in the home environment using a single accelerometer. To this end, a hierarchical classifier with the rejection of non-informative activity segments has been developed drawing on both direct pattern recognition and statistical signal features. Secondly, the recognized activities should be assessed, similarly to the scoring performed by patients themselves. This is achieved through the interval coded scoring (ICS) system, a novel method to extract an interpretable scoring system from data. The activity recognition reaches an average accuracy of 93.5%; assessment is currently 64.3% accurate. These results indicate the potential of the approach; a next step should be its validation in a larger patient study.http://www.mdpi.com/1424-8220/16/12/2151accelerometryactivity capacityactivity performanceactivity recognitioninterpretable medical scoring systemsphysical activityphysical therapymonitoring |
| spellingShingle | Lieven Billiet Thijs Willem Swinnen Rene Westhovens Kurt de Vlam Sabine Van Huffel Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases Sensors accelerometry activity capacity activity performance activity recognition interpretable medical scoring systems physical activity physical therapy monitoring |
| title | Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases |
| title_full | Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases |
| title_fullStr | Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases |
| title_full_unstemmed | Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases |
| title_short | Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases |
| title_sort | accelerometry based activity recognition and assessment in rheumatic and musculoskeletal diseases |
| topic | accelerometry activity capacity activity performance activity recognition interpretable medical scoring systems physical activity physical therapy monitoring |
| url | http://www.mdpi.com/1424-8220/16/12/2151 |
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