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Computational Design of an Adaptable Harness-Based Carrying System for Patients with Dementia Symptoms Cover

Computational Design of an Adaptable Harness-Based Carrying System for Patients with Dementia Symptoms

Open Access
|Jul 2025

Figures & Tables

Fig. 1.

Digital design in Lectra Design Concept: adjustment of the belt pattern to a typical figure of an elderly woman front (a) and back (b). the belt pattern unfolded with scala (c)
Digital design in Lectra Design Concept: adjustment of the belt pattern to a typical figure of an elderly woman front (a) and back (b). the belt pattern unfolded with scala (c)

Fig. 2.

Basic pattern design in Grafis CAD Software
Basic pattern design in Grafis CAD Software

Fig. 3.

Quality evaluation of the carrying belt design in the motions with Clo3D's Strain Map
Quality evaluation of the carrying belt design in the motions with Clo3D's Strain Map

Fig. 4.

Testing of the physical prototype of the carrying system
Testing of the physical prototype of the carrying system

Values of material characteristics measured by a Browzwear's fabric analyzer FAB 2_0

MaterialFabric weight (g/m2)Fabric thickness (mm)Resistance to stretch, warp/weft (N/m)Resistance to bend, warp/weft (dyn*cm)Resistance to shear (N/m)
330D CORDURA® Classic, 100 PA 6.61850.523468.76/3186.431463.89/2180.7256.035
3D knitted fabric, 100 PE3003.57403.81/296.452802.8/2701.55212.38

Key requirements and considerations for clothing designed for individuals with dementia symptoms

RequirementsFeaturesFunctions
Enhanced comfortSoft fabricsUsing soft, hypoallergenic fabrics such as cotton or bamboo minimizes discomfort and alleviates skin irritation.
Elastic waistbandsElastic waistbands on pants enhance comfort and facilitate the dressing process.
LayeringLightweight layers allow for effective temperature regulation throughout the day.
Ease of useSimple fasteningsUse of Velcro, magnetic closures, or large, easy-to-use buttons in place of traditional buttons and zippers
Loose fitGarments should fit loosely, with large openings for easy and comfortable dressing.
SafetyNon-slip footwearNon-slip socks or shoes can reduce the risk of falls
Bright colorsBrightly colored or patterned clothing can help patients recognize their clothing more easily and may enhance their mood or prevent depressive symptoms.
DignityStylish designsAttire that is both stylish and comfortable plays a vital role in preserving the dignity and self-esteem of patients.
Adaptive underwearConsideration of options that facilitate restroom use is important in maintaining dignity during daily activities.
FunctionalityPocketsBuilt-in pockets provide patients with the ability to carry personal items, ensuring effective storage solutions and minimizing the risk of loss.
Elastic and adjustable featuresAdjustable waistbands, cuffs, and similar features should be designed for easy modification, ensuring a snug yet comfortable fit.
Ease of careMachine washableThe durability of clothing to withstand frequent laundering is essential for practicality.
Stain-resistant fabricsSelecting fabrics that exhibit stain-resistant properties is recommended for maintaining a clean appearance with minimal effort.
Lightening the caregiver's loadAdaptive clothing featuresAdaptive design can streamline dressing routines, making them less time-consuming and stressful for caregivers.
Additional considerationsSensory issuesPatients with dementia may have heightened sensitivity to textures and tags; tagless options are preferred.
Weather appropriatenessThe clothing provided should be suitable for different weather conditions, ensuring warmth in the winter and coolness in the summer.
DOI: https://doi.org/10.2478/ftee-2025-0005 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
Language: English
Page range: 49 - 57
Published on: Jul 2, 2025
Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 Nataliya Sadretdinova, Jana Siegmund, Yordan Kyosev, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.