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1.
Sensors (Basel) ; 24(14)2024 Jul 12.
Artículo en Inglés | MEDLINE | ID: mdl-39065902

RESUMEN

Accurate prediction of scoliotic curve progression is crucial for guiding treatment decisions in adolescent idiopathic scoliosis (AIS). Traditional methods of assessing the likelihood of AIS progression are limited by variability and rely on static measurements. This study developed and validated machine learning models for classifying progressive and non-progressive scoliotic curves based on gait analysis using wearable inertial sensors. Gait data from 38 AIS patients were collected using seven inertial measurement unit (IMU) sensors, and hip-knee (HK) cyclograms representing inter-joint coordination were generated. Various machine learning algorithms, including support vector machine (SVM), random forest (RF), and novel deep convolutional neural network (DCNN) models utilizing multi-plane HK cyclograms, were developed and evaluated using 10-fold cross-validation. The DCNN model incorporating multi-plane HK cyclograms and clinical factors achieved an accuracy of 92% in predicting curve progression, outperforming SVM (55% accuracy) and RF (52% accuracy) models using handcrafted gait features. Gradient-based class activation mapping revealed that the DCNN model focused on the swing phase of the gait cycle to make predictions. This study demonstrates the potential of deep learning techniques, and DCNNs in particular, in accurately classifying scoliotic curve progression using gait data from wearable IMU sensors.


Asunto(s)
Aprendizaje Profundo , Análisis de la Marcha , Escoliosis , Humanos , Escoliosis/fisiopatología , Escoliosis/diagnóstico , Adolescente , Femenino , Análisis de la Marcha/métodos , Masculino , Marcha/fisiología , Progresión de la Enfermedad , Máquina de Vectores de Soporte , Redes Neurales de la Computación , Algoritmos , Niño , Dispositivos Electrónicos Vestibles , Rodilla/fisiopatología
2.
Neuromodulation ; 2024 Jun 14.
Artículo en Inglés | MEDLINE | ID: mdl-38878053

RESUMEN

OBJECTIVE: Vagus nerve stimulation (VNS) has recently been reported to exert additional benefits for functional recovery in patients with brain injury. However, the mechanisms underlying these effects have not yet been elucidated. This study examined the effects of transcutaneous auricular VNS (taVNS) on cortical excitability in healthy adults. MATERIALS AND METHODS: We recorded subthreshold and suprathreshold single- and paired-pulse motor-evoked potentials (MEPs) in the right-hand muscles of 16 healthy adults by stimulating the left primary motor cortex. Interstimulus intervals were set at 2 milliseconds and 3 milliseconds for intracortical inhibition (ICI), and 10 milliseconds and 15 milliseconds for intracortical facilitation (ICF). taVNS was applied to the cymba conchae of both ears for 30 minutes. The intensity of taVNS was set to a maximum tolerable level of 1.95 mA. MEPs were measured before stimulation, 20 minutes after the beginning of the stimulation, and 10 minutes after the cessation of stimulation. RESULTS: The participants' age was 33.25 ± 7.08 years, and nine of 16 were male. No statistically significant changes were observed in the mean values of the single-pulse MEPs before, during, or after stimulation. Although the ICF showed an increasing trend after stimulation, the changes in ICI and ICF were not significant, primarily because of the substantial interindividual variability. CONCLUSIONS: The effect of taVNS on cortical excitability varied in healthy adults. An increase in ICF was observed after taVNS, although the difference was not statistically significant. Our findings contribute to the understanding of the mechanisms by which taVNS is effective in patients with brain disorders.

3.
Medicine (Baltimore) ; 98(39): e17056, 2019 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-31574803

RESUMEN

RATIONALE: Swallowing apraxia is defined as dysfunction in oral phase caused by the deficit in the coordination of tongue, lip, and chin movements, without motor weakness, sensory loss, and cognitive decline and has not been reported yet. PATIENT CONCERNS: A 69-year-old male with personal medical history of ischemic stroke about 10 years ago newly developed right striatocapular infarction. He had a problem in the oral phase of swallowing after recurrent ischemic strokes. DIAGNOSES: He was diagnosed as swallowing apraxia via bed side examination and videofluoroscopic swallowing study. INTERVENTION: Videofluoroscopic swallowing study was done in this case. OUTCOMES: Symptoms and findings of VFSS were not improved after 2 months treatment. LESSONS: This case implies that a clinician should be alert to swallowing apraxia as a possible cause when a patient with recurrent strokes complains of oral phase dysfunction of swallowing and considers proper diagnostic option such as videofluoroscopic swallowing study.


Asunto(s)
Apraxias/etiología , Isquemia Encefálica/complicaciones , Trastornos de Deglución/etiología , Anciano , Apraxias/diagnóstico por imagen , Apraxias/fisiopatología , Trastornos de Deglución/diagnóstico por imagen , Trastornos de Deglución/fisiopatología , Fluoroscopía/métodos , Humanos , Labio/fisiopatología , Masculino , Recurrencia , Lengua/fisiopatología , Grabación en Video
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