A nanotechnology-based approach to biosensor application in current diabetes management practices

A Shoaib, A Darraj, ME Khan, L Azmi, A Alalwan… - Nanomaterials, 2023 - mdpi.com
Diabetes mellitus is linked to both short-term and long-term health problems. Therefore, its
detection at a very basic stage is of utmost importance. Research institutes and medical …

Review of wearable sensor-based health monitoring glove devices for rheumatoid arthritis

J Henderson, J Condell, J Connolly, D Kelly, K Curran - Sensors, 2021 - mdpi.com
Early detection of Rheumatoid Arthritis (RA) and other neurological conditions is vital for
effective treatment. Existing methods of detecting RA rely on observation, questionnaires …

Enabling the internet of mobile crowdsourcing health things: A mobile fog computing, blockchain and IoT based continuous glucose monitoring system for diabetes …

TM Fernández-Caramés, I Froiz-Míguez… - Sensors, 2019 - mdpi.com
Diabetes patients suffer from abnormal blood glucose levels, which can cause diverse
health disorders that affect their kidneys, heart and vision. Due to these conditions, diabetes …

Optical assessment of tear glucose by smart biosensor based on nanoparticle embedded contact lens

HJ Jeon, S Kim, S Park, IK Jeong, J Kang, YR Kim… - Nano Letters, 2021 - ACS Publications
Diabetes is a disease condition characterized by a prolonged, high blood glucose level,
which may lead to devastating outcomes unless properly managed. Here, we introduce a …

Sense and learn: recent advances in wearable sensing and machine learning for blood glucose monitoring and trend-detection

AY Alhaddad, H Aly, H Gad, A Al-Ali… - … in Bioengineering and …, 2022 - frontiersin.org
Diabetes mellitus is characterized by elevated blood glucose levels, however patients with
diabetes may also develop hypoglycemia due to treatment. There is an increasing demand …

Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field

S Soon, H Svavarsdottir, C Downey… - BMJ Innovations, 2020 - innovations.bmj.com
Early detection of physiological deterioration has been shown to improve patient outcomes.
Due to recent improvements in technology, comprehensive outpatient vital signs monitoring …

Ensuring security and privacy in Healthcare Systems: a Review Exploring challenges, solutions, Future trends, and the practical applications of Artificial Intelligence

I Bala, I Pindoo, MM Mijwil, M Abotaleb… - Jordan Medical …, 2024 - jjournals.ju.edu.jo
Abstract Background and Aims: The healthcare system's complex structure presents unique
challenges in ensuring security and privacy. This review aimed to explore these challenges …

[HTML][HTML] IoMT innovations in diabetes management: Predictive models using wearable data

I Rodríguez-Rodríguez, M Campo-Valera… - Expert Systems with …, 2024 - Elsevier
Diabetes Mellitus (DM) represents a metabolic disorder characterized by consistently
elevated blood glucose levels due to inadequate pancreatic insulin production. Type 1 DM …

Personal health oracle: Explorations of personalized predictions in diabetes self-management

PM Desai, EG Mitchell, ML Hwang, ME Levine… - Proceedings of the …, 2019 - dl.acm.org
The increasing availability of health data and knowledge about computationally modeling
human physiology opens new opportunities for personalized predictions in health. Yet little …

Determining physical activity characteristics from wristband data for use in automated insulin delivery systems

M Sevil, M Rashid, Z Maloney, I Hajizadeh… - IEEE sensors …, 2020 - ieeexplore.ieee.org
Algorithms that can determine the type of physical activity (PA) and quantify the intensity can
allow precision medicine approaches, such as automated insulin delivery systems that …