Quantifying Turning Tasks With Wearable Sensors: A Reliability Assessment.
Phys Ther
; 104(2)2024 Feb 01.
Article
em En
| MEDLINE
| ID: mdl-37802908
ABSTRACT
OBJECTIVE:
The aim of this study was to establish the test-retest reliability of metrics obtained from wearable inertial sensors that reflect turning performance during tasks designed to imitate various turns in daily activity.METHODS:
Seventy-one adults who were healthy completed 3 turning tasks a 1-minute walk along a 6-m walkway, a modified Illinois Agility Test (mIAT), and a complex turning course (CTC). Peak axial turning and rotational velocity (yaw angular velocity) were extracted from wearable inertial sensors on the head, trunk, and lumbar spine. Intraclass correlation coefficients (ICCs) were established to assess the test-retest reliability of average peak turning speed for each task. Lap time was collected for reliability analysis as well.RESULTS:
Turning speed across all tasks demonstrated good to excellent reliability, with the highest reliability noted for the CTC (45-degree turns ICC = 0.73-0.81; 90-degree turns ICC = 0.71-0.83; and 135-degree turns ICC = 0.72-0.80). The reliability of turning speed during 180-degree turns from the 1-minute walk was consistent across all body segments (ICC = 0.74-0.76). mIAT reliability ranged from fair to excellent (end turns ICC = 0.52-0.72; mid turns ICC = 0.50-0.56; and slalom turns ICC = 0.66-0.84). The CTC average lap time demonstrated good test-retest reliability (ICC = 0.69), and the mIAT average lap time test-retest reliability was excellent (ICC = 0.91).CONCLUSION:
Turning speed measured by inertial sensors is a reliable outcome across a variety of ecologically valid turning tasks that can be easily tested in a clinical environment. IMPACT Turning performance is a reliable and important measure that should be included in clinical assessments and clinical trials.Palavras-chave
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Caminhada
/
Dispositivos Eletrônicos Vestíveis
Limite:
Adult
/
Humans
Idioma:
En
Revista:
Phys Ther
Ano de publicação:
2024
Tipo de documento:
Article