Systematic Review on the Applicability of Principal Component Analysis for the Study of Movement in the Older Adult Population

Moreira, Juliana; Silva, Bruno; Faria, Hugo; Santos, Rubim; Sousa, Andreia S. P.

doi:10.3390/s23010205

Cited by 5 publications

(2 citation statements)

References 63 publications

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“…To delve into the variations in functional diversity of the soil microbial communities across the distinct fertilization regimes, principal component analysis (PCA) was employed to examine the microbial utilization of 31 carbon sources. Principal component analysis is a statistical method that reduces data volume while retaining all the captured information [34]. Utilizing AWCD values at 144 h of incubation, principal component analysis facilitated the exploration and subsequent elucidation of these variations.…”

Section: Principal Component Analysis Of Carbon Source Utilization By...mentioning

confidence: 99%

Effects of Fertilization Practices on the Metabolic Functions of Soil Microbial Communities under Subsurface Irrigation with Stalk Composite Pipe

Wu,

Li,

Liu

et al. 2024

Agronomy

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To investigate the effect of nitrogen application and soil microbial activity on the decomposition process of stalk material in stalk composite pipes (SCPs) under subsurface irrigation with stalk composite pipes (SSI), in this study, a field experiment was conducted with two fertilization strategies—banding fertilization and SCP fertigation—at three nitrogen doses (126, 168, and 210 kg/ha), and the Biolog Ecoplate™ was employed to determine soil microbial activity. The results showed that under banding fertilization, the soil microbial activity at 20 cm subsoil and at the SCP wall increased with the increase in nitrogen dosage, ranging from 37.6% to 54.3% and from 21.5% to 23.7%, respectively. Under SCP fertigation, the soil microbial activity at 20 cm subsoil first showed a 58% surge, followed by a 3.9% decrease, with no significant variation in soil microbial activity at the SCP wall. Forty-five days later, the crude fiber content in the SCP wall under SCP fertigation was 17.6–26.3% lower than that under banding fertilization. Based on the comprehensive analysis of the soil microbial activity, SCP fertigation combined with high nitrogen application can accelerate the decay rate of straw in SCPs. This research can provide a reference for formulating irrigation and fertilization regimes for SSI.

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Section: Principal Component Analysis Of Carbon Source Utilization By...mentioning

confidence: 99%

Effects of Fertilization Practices on the Metabolic Functions of Soil Microbial Communities under Subsurface Irrigation with Stalk Composite Pipe

Wu,

Li,

Liu

et al. 2024

Agronomy

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“…images, text, and tabular data), and the outcomes can be merged into predictions for diagnosis, prognosis, and possible treatments [ 15 , 16 ]. ML approaches, such as principle component analysis, can reduce the volume of data and improve visualization, which can help determine similarities and differences between samples [ 17 ]. Other ML methods, including support vector machine (SVM) algorithms, were successfully used for the automatic classification of prosthetic components, despite relatively small sample sizes [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Exploration and demonstration of explainable machine learning models in prosthetic rehabilitation-based gait analysis

Aghababa,

Andrysek

2024

PLoS ONE

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Quantitative gait analysis is important for understanding the non-typical walking patterns associated with mobility impairments. Conventional linear statistical methods and machine learning (ML) models are commonly used to assess gait performance and related changes in the gait parameters. Nonetheless, explainable machine learning provides an alternative technique for distinguishing the significant and influential gait changes stemming from a given intervention. The goal of this work was to demonstrate the use of explainable ML models in gait analysis for prosthetic rehabilitation in both population- and sample-based interpretability analyses. Models were developed to classify amputee gait with two types of prosthetic knee joints. Sagittal plane gait patterns of 21 individuals with unilateral transfemoral amputations were video-recorded and 19 spatiotemporal and kinematic gait parameters were extracted and included in the models. Four ML models—logistic regression, support vector machine, random forest, and LightGBM—were assessed and tested for accuracy and precision. The Shapley Additive exPlanations (SHAP) framework was applied to examine global and local interpretability. Random Forest yielded the highest classification accuracy (98.3%). The SHAP framework quantified the level of influence of each gait parameter in the models where knee flexion-related parameters were found the most influential factors in yielding the outcomes of the models. The sample-based explainable ML provided additional insights over the population-based analyses, including an understanding of the effect of the knee type on the walking style of a specific sample, and whether or not it agreed with global interpretations. It was concluded that explainable ML models can be powerful tools for the assessment of gait-related clinical interventions, revealing important parameters that may be overlooked using conventional statistical methods.

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Can nonlinear analysis of movement patterns reveal the status of the musculoskeletal system?

Fonseca,

Souza,

Aquino

et al. 2024

Progress in Motor Control

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Systematic Review on the Applicability of Principal Component Analysis for the Study of Movement in the Older Adult Population

Cited by 5 publications

References 63 publications

Effects of Fertilization Practices on the Metabolic Functions of Soil Microbial Communities under Subsurface Irrigation with Stalk Composite Pipe

Effects of Fertilization Practices on the Metabolic Functions of Soil Microbial Communities under Subsurface Irrigation with Stalk Composite Pipe

Exploration and demonstration of explainable machine learning models in prosthetic rehabilitation-based gait analysis

Can nonlinear analysis of movement patterns reveal the status of the musculoskeletal system?

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