[HTML][HTML] Overview of artificial intelligence–driven wearable devices for diabetes: scoping review
Background Prevalence of diabetes has steadily increased over the last few decades with
1.5 million deaths reported in 2012 alone. Traditionally, analyzing patients with diabetes has …
1.5 million deaths reported in 2012 alone. Traditionally, analyzing patients with diabetes has …
[HTML][HTML] Artificial intelligence methodologies applied to technologies for screening, diagnosis and care of the diabetic foot: A narrative review
Diabetic foot syndrome is a multifactorial pathology with at least three main etiological
factors, ie, peripheral neuropathy, peripheral arterial disease, and infection. In addition to …
factors, ie, peripheral neuropathy, peripheral arterial disease, and infection. In addition to …
[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App
MB Alazzam, H Mansour, F Alassery… - Computational …, 2021 - Wiley Online Library
Lifestyle influences morbidity and mortality rates in the world. Physical activity, a healthy
weight, and a healthy diet are key preventative health behaviours that help reduce the risk of …
weight, and a healthy diet are key preventative health behaviours that help reduce the risk of …
Fall risk assessment for the elderly based on weak foot features of wearable plantar pressure
The high fall rate of the elderly brings enormous challenges to families and the medical
system; therefore, early risk assessment and intervention are quite necessary. Compared to …
system; therefore, early risk assessment and intervention are quite necessary. Compared to …
[HTML][HTML] Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
Abstract Introduction Diabetes Mellitus (DM) is characterized by impaired ability to
metabolize glucose for use in cells for energy, resulting in high blood sugar (hyperglycemia) …
metabolize glucose for use in cells for energy, resulting in high blood sugar (hyperglycemia) …
A novel eco-and user-friendly graphene/leather-based composite for real-time mechano-monitoring of human motion
R Qin, X Luo, J Feng, P Zhang, W Wang, L Duan… - Journal of Cleaner …, 2022 - Elsevier
Up to now, flexible wearable sensors have played a significant role in mimicking the
comprehensive functions of human sensing as an essential part of the realization of human …
comprehensive functions of human sensing as an essential part of the realization of human …
Distributed full synchronized system for global health monitoring based on flsa
In modern medicine, smart wireless connected devices are gaining an increasingly
important role in aiding doctors' job of monitoring patients. More and more complex systems …
important role in aiding doctors' job of monitoring patients. More and more complex systems …
[HTML][HTML] Gait acceleration-based diabetes detection using hybrid deep learning
Diabetes is a medical condition affecting multiple organs and systems due to high blood
glucose levels in the body which cause diabetic neuropathy and diabetic foot ulcers …
glucose levels in the body which cause diabetic neuropathy and diabetic foot ulcers …
MhNet: Multi-scale spatio-temporal hierarchical network for real-time wearable fall risk assessment of the elderly
Continuous fall risk assessment and real-time high falling risk warning are extremely
necessary for the elderly, to protect their lives and ensure their quality of life. Wearable in …
necessary for the elderly, to protect their lives and ensure their quality of life. Wearable in …
[HTML][HTML] Plantar pressure and falling risk in older individuals: a cross-sectional study
Y Yan, J Ou, H Shi, C Sun, L Shen, Z Song… - Journal of foot and ankle …, 2023 - Springer
Background Falls are commonplace among elderly people. It is urgent to prevent falls.
Previous studies have confirmed that there is a difference in plantar pressure between falls …
Previous studies have confirmed that there is a difference in plantar pressure between falls …