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DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps
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Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Diabetic sensorimotor polyneuropathy (DSPN) leads to pain, diabetic foot ulceration (DFU), amputation, and death. The diagnosis of advanced DSPN to identify those at risk is key to preventing DFU and amputation. Alterations ...
Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques
(
MDPI AG
, 2020 , Article)
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; ...
Fiber Bragg Gratings based smart insole to measure plantar pressure and temperature
(
Elsevier
, 2023 , Article)
Various foot complications can be easily avoided by continuously monitoring plantar (foot sole) pressure and temperature at home. Systems which can simultaneously measure plantar pressure and temperature in real time are ...
Deep learning techniques for liver and liver tumor segmentation: A review
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Elsevier
, 2022 , Article)
Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ...
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
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Elsevier
, 2022 , Article)
While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ...
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
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Elsevier
, 2022 , Article)
Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human ...
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals
(
Elsevier
, 2023 , Article)
Gait analysis is helpful for rehabilitation, clinical diagnoses, and sporting activities. Among the gathered signals, ground reaction forces (GRF) may be used for assisting doctors in recognizing and categorizing gait ...
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
(
IOP Publishing Ltd
, 2021 , Article)
Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world. This research focuses on computer-aided analysis of phonocardiogram (PCG) signals based on deep learning that can enable improved and ...
Enhance data availability and network consistency using artificial neural network for IoT
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Springer
, 2022 , Article)
IoT networks have become famous and utilized in many industries such as agriculture, medical, manufacture, and others due to their efficiency and productivity. WSN is an IoT network used for smart farming and smart health ...
Effects of titanium and carbon nanotubes on nano/micromechanical properties of HA/TNT/CNT nanocomposites
(
Elsevier
, 2021 , Article)
In this study, hydroxyapatite/titanium nanotube/carbon nanotube (HA/TNT/CNT) nanocomposites with different CNT contents were fabricated using a combination of hydrothermal and sol–gel methods. The nanocomposite powders ...