[HTML][HTML] Overview of artificial intelligence–driven wearable devices for diabetes: scoping review

A Ahmed, S Aziz, A Abd-Alrazaq, F Farooq… - Journal of Medical …, 2022 - jmir.org
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 …

[HTML][HTML] Artificial intelligence methodologies applied to technologies for screening, diagnosis and care of the diabetic foot: A narrative review

G Chemello, B Salvatori, M Morettini, A Tura - Biosensors, 2022 - mdpi.com
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 …

[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 …

Fall risk assessment for the elderly based on weak foot features of wearable plantar pressure

Z Song, J Ou, L Shu, G Hu, S Wu, X Xu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data

A Ahmed, S Aziz, U Qidwai, A Abd-Alrazaq… - Computer Methods and …, 2023 - Elsevier
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) …

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 …

Distributed full synchronized system for global health monitoring based on flsa

G Coviello, A Florio, G Avitabile… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Gait acceleration-based diabetes detection using hybrid deep learning

LZ Chee, S Sivakumar, KH Lim, AA Gopalai - Biomedical Signal Processing …, 2024 - Elsevier
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 …

MhNet: Multi-scale spatio-temporal hierarchical network for real-time wearable fall risk assessment of the elderly

S Wu, J Ou, L Shu, G Hu, Z Song, X Xu… - Computers in biology and …, 2022 - Elsevier
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 …

[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 …