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Title: | Innovative Digital Phenotyping Method to Assess Body Representations in Autistic Adults: A Perspective on Multisensor Evaluation | Authors: | MOURAD, Joanna DANIELS, Kim BOGAERTS, Katleen Desseilles, Martin BONNECHERE, Bruno |
Issue Date: | 2024 | Publisher: | MDPI | Source: | Sensors, 24 (20) (Art N° 6523) | Abstract: | In this perspective paper, we propose a novel tech-driven method to evaluate body representations (BRs) in autistic individuals. Our goal is to deepen understanding of this complex condition by gaining continuous and real-time insights through digital phenotyping into the behavior of autistic adults. Our innovative method combines cross-sectional and longitudinal data gathering techniques to investigate and identify digital phenotypes related to BRs in autistic adults, diverging from traditional approaches. We incorporate ecological momentary assessment and time series data to capture the dynamic nature of real-life events for these individuals. Statistical techniques, including multivariate regression, time series analysis, and machine learning algorithms, offer a detailed comprehension of the complex elements that influence BRs. Ethical considerations and participant involvement in the development of this method are emphasized, while challenges, such as varying technological adoption rates and usability concerns, are acknowledged. This innovative method not only introduces a novel vision for evaluating BRs but also shows promise in integrating traditional and dynamic assessment approaches, fostering a more supportive atmosphere for autistic individuals during assessments compared to conventional methods. | Notes: | Bonnechere, B (corresponding author), Hasselt Univ, Fac Rehabil Sci, REVAL Rehabil Res Ctr, B-3590 Diepenbeek, Belgium.; Bonnechere, B (corresponding author), Hasselt Univ, Data Sci Inst, Technol Supported & Data Driven Rehabil, B-3590 Diepenbeek, Belgium.; Bonnechere, B (corresponding author), PXL Univ Appl Sci & Arts, Dept PXL Healthcare, B-3500 Hasselt, Belgium. joanna.mourad@uhasselt.be; kim.daniels@pxl.be; katleen.bogaerts@uhasselt.be; martin.desseilles@unamur.be; bruno.bonnechere@uhasselt.be |
Keywords: | body representations;assessment;autistic adults;multisensor;data integration;digital phenotyping | Document URI: | http://hdl.handle.net/1942/44693 | e-ISSN: | 1424-8220 | DOI: | 10.3390/s24206523 | ISI #: | 001342280900001 | Rights: | 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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Innovative Digital Phenotyping Method to Assess Body Representations in Autistic Adults_ A Perspective onMultisensor Evaluation.pdf | Published version | 2.58 MB | Adobe PDF | View/Open |
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