Medial Displacement Calcaneal Osteotomy for Unilateral Adult Acquired Flatfoot: Effects of Minimally Invasive Surgery on Pain, Alignment, Functioning, and Quality of Life

Catani, Ottorino; Cautiero, G; Sergio, Fabrizio; Cattolico, Alessandro; Calafiore, Dario; Sire, Alessandro de; Zanchini, Fabio

doi:10.1053/j.jfas.2020.11.003

Cited by 22 publications

(14 citation statements)

References 31 publications

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“…The most general investigation approach presently utilized for COVID-19 detection is real-world reverse transcription polymerase chain reaction (RT-PCR). Additionally, chest radiological imaging, namely computed tomography (CT) and X-ray are very important parts of premature prediction and treatment of this disease [ 4 , 13 – 15 ]. In general, X-ray images are recognized as effective for observing and evaluation of different lung illnesses, like pneumonia, tuberculosis, infiltration, and hernia.…”

Section: Introductionmentioning

confidence: 99%

FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection

Rajeswari¹,

Gampala

Maram

et al. 2022

J Digit Imaging

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Section: Introductionmentioning

confidence: 99%

FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection

Rajeswari¹,

Gampala

Maram

et al. 2022

J Digit Imaging

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“…Common symptoms include attenuation, insufficiency, or rupture of the supporting structures of the medial longitudinal arch (MLA) [2]. Statistics show that the prevalence of flexible flatfoot was 13.6% in adulthood [3], and surgery might be required for severe cases [4].…”

Section: Introductionmentioning

confidence: 99%

Effects of a 6-Minute Fast-Walking Protocol on Changes in Muscle Activity in Individuals with Flatfoot

et al. 2022

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Flatfoot causes abnormal biomechanics in the lower extremity, resulting in discomfort and excessive burden on lower extremity muscles during functional tasks, and it potentially leads to associated syndromes in the lower extremity. The aim of this study was to investigate how a demanding, repetitive task affects the muscle strength, activities, and fatigue of the lower extremities during function tasks. Nineteen individuals with flexible flatfoot (10M9F, age: 24.74 ± 2.68 years) and fifteen non-flatfoot participants (6M9F, age: 24.47 ± 3.74) took part in this study. All participants performed maximal voluntary isometric contraction and functional tasks, including walking and single-leg standing tests before and immediately after a 6-min fast-walking protocol. A surface electromyography system was used to collect muscle activation data. Our results showed that, after 6 min of fast walking, peroneus longus activity increased only in the non-flatfoot group, and gastrocnemius activity increased in the flexible flatfoot group. In the flexible flatfoot group, greater recruitment in abductor halluces and greater fatigue in the tibialis anterior was observed. Individuals with flexible flatfoot showed altered muscle activation pattern after 6-min fast walking. These findings can provide an evidence-based explanation of associated syndromes in flatfoot populations and lead to potential intervention strategies in the future.

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“…The emotions are inevitable to the speech, as they help to acquire a deeper impact of the conveyed information. There are six universally accepted emotions: “happiness, sadness, disgust, fear, surprise, and anger.” 5,6 Moreover, emotions are ubiquitous in the daily life of humans and we humans are good at expressing everything emotionality for maximum awareness of the response 7,8 . On the other hand, emotions are the complex “psycho‐physiological short‐time experience” that results from an external factor (environmental factor) or a biochemical (internal) factor.…”

Section: Introductionmentioning

confidence: 99%

Cat swarm optimized ensemble technique for emotion recognition in speech signals

Butta¹,

Maddu²,

Sumalatha

2022

Concurrency and Computation

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SUMMARY One of the fastest and the natural mode of communication between humans is speech. Recently in speech signal processing, noncontact clinical issue, patient remote monitoring, and man–machine interaction application; emotion recognition from the speech is becoming a popular topic of research. The basic principle behind speech emotion recognition is to analyze the diverse emotions expressed by a speaker while uttering the same obsession under dissimilar emotional circumstances. A novel speech emotion recognition method is formulated in this research study in two major phases: spectral feature extraction and recognition. Initially, the extracted spectral skewness, delta AMS, spectral flux, spectral kurtosis, spectral spread, and spectral slope features from the input speech signal are subjected to the proposed ensemble classifier to determine the corresponding emotions from the input signal. The suggested ensemble classifier includes neural network 1, neural network 2, neural network 3, random forest, and recurrent neural network. The final recognized outcome is acquired from the RNN, which is enhanced via tuning its weight. A new improved cat‐swarm optimization algorithm is used to address this optimization problem. Finally, the obtained findings are compared to other state‐of‐the‐art algorithms.

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Medial Displacement Calcaneal Osteotomy for Unilateral Adult Acquired Flatfoot: Effects of Minimally Invasive Surgery on Pain, Alignment, Functioning, and Quality of Life

Cited by 22 publications

References 31 publications

FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection

FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection

Effects of a 6-Minute Fast-Walking Protocol on Changes in Muscle Activity in Individuals with Flatfoot

Cat swarm optimized ensemble technique for emotion recognition in speech signals

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