The Push Forward in Rehabilitation; Validation of a Machine Learning Method for Detection of Wheelchair Propulsion Type

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Abstract

Within rehabilitation, there is great need for a simple method to monitor wheelchair use, especially whether it is active or passive. For this purpose, an existing measurement technique was extended with a method for detecting self or attendant pushed wheelchair propulsion. The validity was determined by comparison with manual annotation of wheelchair use. Twenty-four amputation and stroke patients completed a semi-structured course of active and passive wheelchair use. Based on a machine learning approach, a method was developed that detected the type of movement. The machine learning method was trained based on the data of a single wheel sensor as well as a setup using an additional sensor on the frame. The method showed high accuracy (F1 = 0.886, frame and wheel sensor) even if only a single wheel sensor was used (F1 = 0.827). The developed and validated measurement method is ideally suited to easily determine wheelchair use and the corresponding activity level of patients in rehabilitation.

Authors 4

1. R.M.A. van der Slikke corresponding
2. Arie‐Willem de Leeuw

   The Hague University of Applied Sciences

   Affiliation as printed

   The Hague University of Applied Sciences ; The Hague , the Netherlands ;

   The Hague University of Applied Sciences; The Hague, the Netherlands;

3. Aleid de Rooij Aachen

   Leiden University Medical Center

   Affiliation as printed

   Basalt Revalidatie ; The Hague , the Netherlands ;

   Leiden University Medical Center (LUMC) ; Leiden , the Netherlands

   Basalt Revalidatie; The Hague, the Netherlands;

   Leiden University Medical Center (LUMC); Leiden, the Netherlands

4. Monique Berger

   The Hague University of Applied Sciences

   Affiliation as printed

   Basalt Revalidatie ; The Hague , the Netherlands ;

   The Hague University of Applied Sciences ; The Hague , the Netherlands ;

   Basalt Revalidatie; The Hague, the Netherlands;

   The Hague University of Applied Sciences; The Hague, the Netherlands;