Validity of Instrumented Insoles for Step Counting, Posture and Activity Recognition: A Systematic Review
Autor: | Laurent J. Bouyer, Andréanne K. Blanchette, Hélène Moffet, Bradford J. McFadyen, Charles Sèbiyo Batcho, Armelle M. Ngueleu, Désirée B. Maltais |
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Rok vydání: | 2019 |
Předmět: |
medicine.medical_specialty
Step counting Computer science 010401 analytical chemistry step counting Review lcsh:Chemical technology 01 natural sciences Biochemistry Atomic and Molecular Physics and Optics insoles 0104 chemical sciences Analytical Chemistry Activity recognition 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation criterion validity Criterion validity medicine lcsh:TP1-1185 030212 general & internal medicine Electrical and Electronic Engineering Instrumentation posture and activity recognition |
Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 19, Iss 11, p 2438 (2019) |
ISSN: | 1424-8220 |
Popis: | With the growing interest in daily activity monitoring, several insole designs have been developed to identify postures, detect activities, and count steps. However, the validity of these devices is not clearly established. The aim of this systematic review was to synthesize the available information on the criterion validity of instrumented insoles in detecting postures activities and steps. The literature search through six databases led to 33 articles that met inclusion criteria. These studies evaluated 17 different insole models and involved 290 participants from 16 to 75 years old. Criterion validity was assessed using six statistical indicators. For posture and activity recognition, accuracy varied from 75.0% to 100%, precision from 65.8% to 100%, specificity from 98.1% to 100%, sensitivity from 73.0% to 100%, and identification rate from 66.2% to 100%. For step counting, accuracies were very high (94.8% to 100%). Across studies, different postures and activities were assessed using different criterion validity indicators, leading to heterogeneous results. Instrumented insoles appeared to be highly accurate for steps counting. However, measurement properties were variable for posture and activity recognition. These findings call for a standardized methodology to investigate the measurement properties of such devices. |
Databáze: | OpenAIRE |
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