Rehabilitation of Fall in Elderly: The Paradigm of a New Medical Vision

Coraci, Daniele; Tognolo, Lucrezia; Masiero, Stefano

doi:10.3390/app13031898

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…It can achieve automated testing, improve production efficiency, and reduce production costs ( Dong et al, 2022 ). Research on bare PCB defect detection algorithms based on machine vision theory can provide new ideas for machine vision technology, promote technological progress in related fields, and help expand the application field of machine vision and defect detection technology to areas such as medical ( Coraci, Tognolo & Masiero, 2023 ; Gao et al, 2023 ), security ( Mallaiyan Sathiaseelan et al, 2021 ; Ge, Dan & Li, 2020 ), and smart home technology ( Yu & Pei, 2021 ; Talaat, Arafa & Metwally, 2020 ). The continuous improvement of this technology can also promote the cross-integration of machine vision and other disciplines, further promoting the improvement of industrial automation ( Kshirsagar et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Defect identification of bare printed circuit boards based on Bayesian fusion of multi-scale features

Han,

Li,

Wang

et al. 2024

PeerJ Computer Science

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The aim of this article is to propose a defect identification method for bare printed circuit boards (PCB) based on multi-feature fusion. This article establishes a description method for various features of grayscale, texture, and deep semantics of bare PCB images. First, the multi-scale directional projection feature, the multi-scale grey scale co-occurrence matrix feature, and the multi-scale gradient directional information entropy feature of PCB were extracted to build the shallow features of defect images. Then, based on migration learning, the feature extraction network of the pre-trained Visual Geometry Group16 (VGG-16) convolutional neural network model was used to extract the deep semantic feature of the bare PCB images. A multi-feature fusion method based on principal component analysis and Bayesian theory was established. The shallow image feature was then fused with the deep semantic feature, which improved the ability of feature vectors to characterize defects. Finally, the feature vectors were input as feature sequences to support vector machines for training, which completed the classification and recognition of bare PCB defects. Experimental results show that the algorithm integrating deep features and multi-scale shallow features had a high recognition rate for bare PCB defects, with an accuracy rate of over 99%.

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Section: Introductionmentioning

confidence: 99%

Defect identification of bare printed circuit boards based on Bayesian fusion of multi-scale features

Han,

Li,

Wang

et al. 2024

PeerJ Computer Science

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“…As life expectancy increases and fertility rates decrease, the proportion of the elderly population is growing significantly worldwide [1]. In South Korea, where population aging is progressing at the fastest pace in the world, the proportion aged 65 or older accounted for 17.5% in 2020 and is expected to increase to 46.4% in 2070 [2].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Structural Characteristics of the Rollator on the Elderly’s Gait Strategies in Various Walking Environments

Jung,

Kim

2023

Applied Sciences

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A rollator, one of the most widely used among walking assistance devices, can assist the elderly with stable walking in their daily lives. In this study, we investigated how the structural characteristics of two types of rollators affect the upper and lower extremity muscle activity and plantar pressure of the elderly in various walking environments. We quantified muscle activity (upper and lower limbs) and plantar pressure (mean force, peak pressure, and contact area) of 11 older adults walking in various environments (flat, obstacle, uneven, and sloped terrain) using two types of rollators. Upper extremity muscle activity was highest in the obstacle terrain and the uneven terrain, and a significant difference was found due to the structural differences of the rollator. Additionally, it was observed that lower extremity muscle activity and plantar pressure patterns appeared in accordance with the gait strategy to maintain stability in an unstable or inclined walking environment. In other words, it was confirmed that the weight of the rollator, the size of the wheel, grip type, and the auxiliary tools had a great effect on the upper and lower extremity muscle activity and plantar pressure of the elderly during walking. From the results of this study, it can be suggested that it is absolutely necessary to consider the biomechanical characteristics of the elderly and the structure of the rollator, which appear differently depending on the walking environment, in the development of walking aids. In the future, more clinical data will be collected, and based on this a rollator that can safely assist the elderly in various walking environments will be developed.

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Rehabilitation of Fall in Elderly: The Paradigm of a New Medical Vision

Abstract: Aging is a physiological state which implies several consequences [...]

Cited by 2 publications

References 14 publications

Defect identification of bare printed circuit boards based on Bayesian fusion of multi-scale features

Defect identification of bare printed circuit boards based on Bayesian fusion of multi-scale features

The Effects of Structural Characteristics of the Rollator on the Elderly’s Gait Strategies in Various Walking Environments

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