Cargando…

Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial

BACKGROUND: Exercise can rapidly drop glucose in people with type 1 diabetes. Ubiquitous wearable fitness sensors are not integrated into automated insulin delivery (AID) systems. We hypothesised that an AID can automate insulin adjustments using real-time wearable fitness data to reduce hypoglycaem...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jacobs, Peter G, Resalat, Navid, Hilts, Wade, Young, Gavin M, Leitschuh, Joseph, Pinsonault, Joseph, El Youssef, Joseph, Branigan, Deborah, Gabo, Virginia, Eom, Jae, Ramsey, Katrina, Dodier, Robert, Mosquera-Lopez, Clara, Wilson, Leah M, Castle, Jessica R
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557965/ https://www.ncbi.nlm.nih.gov/pubmed/37543512 http://dx.doi.org/10.1016/S2589-7500(23)00112-7

Ejemplares similares

Randomized Outpatient Trial of Single- and Dual-Hormone Closed-Loop Systems That Adapt to Exercise Using Wearable Sensors
por: Castle, Jessica R., et al.
Publicado: (2018)

Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence
por: Mosquera-Lopez, Clara, et al.
Publicado: (2023)

An artificial intelligence decision support system for the management of type 1 diabetes
por: Tyler, Nichole S., et al.
Publicado: (2020)

Accuracy of the Dexcom G6 Glucose Sensor during Aerobic, Resistance, and Interval Exercise in Adults with Type 1 Diabetes
por: Guillot, Florian H., et al.
Publicado: (2020)

A statistical virtual patient population for the glucoregulatory system in type 1 diabetes with integrated exercise model
por: Resalat, Navid, et al.
Publicado: (2019)

Effect of Repeated Glucagon Doses on Hepatic Glycogen in Type 1 Diabetes: Implications for a Bihormonal Closed-Loop System
por: Castle, Jessica R., et al.
Publicado: (2015)

Design and Evaluation of a Non-Contact Bed-Mounted Sensing Device for Automated In-Home Detection of Obstructive Sleep Apnea: A Pilot Study
por: Mosquera-Lopez, Clara, et al.
Publicado: (2019)

A Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System
por: Resalat, Seyed Navid, et al.
Publicado: (2016)

Real Time Driver’s Drowsiness Detection by Processing the EEG Signals Stimulated with External Flickering Light
por: Hashemi, Amjad, et al.
Publicado: (2014)

Wearable Edge AI Applications for Ecological Environments
por: Silva, Mateus C., et al.
Publicado: (2021)

Quantifying the impact of physical activity on future glucose trends using machine learning
por: Tyler, Nichole S., et al.
Publicado: (2022)

Efficient cellular annotation of histopathology slides with real-time AI augmentation
por: Diao, James A., et al.
Publicado: (2021)

Sensing leg movement enhances wearable monitoring of energy expenditure
por: Slade, Patrick, et al.
Publicado: (2021)

Wearable monitors criterion validity for energy expenditure in sedentary and light activities
por: Alberto, Florez-Pregonero, et al.
Publicado: (2017)

Ambient and Wearable Sensor Technologies for Energy Expenditure Quantification of Ageing Adults
por: Leone, Alessandro, et al.
Publicado: (2022)

AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures
por: Shan, Guangcun, et al.
Publicado: (2020)

Development of a Wearable Camera and AI Algorithm for Medication Behavior Recognition
por: Lee, Hwiwon, et al.
Publicado: (2021)

A Wearable Multidimensional Motion Sensor for AI-Enhanced VR Sports
por: Guo, Zi Hao, et al.
Publicado: (2023)

How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
por: Pugh, Carla M., et al.
Publicado: (2020)

Real-time infection prediction with wearable physiological monitoring and AI to aid military workforce readiness during COVID-19
por: Conroy, Bryan, et al.
Publicado: (2022)

The Control of Hospital Expenditure: The Budget or Estimate System
por: Stone, Joseph E.
Publicado: (1922)

Dissection of medical AI reasoning processes via physician and generative-AI collaboration
por: DeGrave, Alex J., et al.
Publicado: (2023)

Measuring the Displacement and Replacement of Government Health Expenditure
por: Dieleman, Joseph L, et al.
Publicado: (2014)

A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices
por: Gashi, Shkurta, et al.
Publicado: (2022)

Trends in Obesity and Overweight in Oregon Children With Down Syndrome
por: Pierce, Melinda, et al.
Publicado: (2019)

Causes of Medicaid Expenditure Growth
por: Wade, Martcia, et al.
Publicado: (1995)

Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers
por: Gruenerbel, Lorenz, et al.
Publicado: (2023)

Safety and Lack of Negative Effects of Wearable Augmented-Reality Social Communication Aid for Children and Adults with Autism
por: Sahin, Ned T., et al.
Publicado: (2018)

Wearable energy systems: what are the limits and limitations?
por: Yin, Lu, et al.
Publicado: (2022)

Summary of a conference on national health expenditures accounting
por: Lindsey, Phoebe A., et al.
Publicado: (1986)

Recent revisions to and recommendations for national health expenditures accounting
por: Haber, Susan G., et al.
Publicado: (1991)

Primary care practices’ ability to predict future risk of expenditures and hospitalization using risk stratification and segmentation
por: Dorr, David A., et al.
Publicado: (2021)

Concurrent Validity and Reliability of the Sprint Force–Velocity Profile Assessed with K-AI Wearable Tech
por: Vantieghem-Nicolas, Laurine, et al.
Publicado: (2023)

Evaluating Energy Expenditure Estimated by Wearable Technology During Variable Intensity Activity on Female Collegiate Athletes
por: TAYLOR, MONICA, et al.
Publicado: (2018)

The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors
por: Park, Heesu, et al.
Publicado: (2017)

Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
por: Tran, Viet-Thi, et al.
Publicado: (2019)

A Wearable-Sensor System with AI Technology for Real-Time Biomechanical Feedback Training in Hammer Throw †
por: Wang, Ye, et al.
Publicado: (2022)

Wearables as a tool for measuring therapeutic adherence in behavioral health
por: Wedlund, Leia, et al.
Publicado: (2021)

Energy expenditure of interruptions to sedentary behavior
por: Swartz, Ann M, et al.
Publicado: (2011)

Fundamentals of Wearable Computers and Augmented Reality
por: Barfield, Woodrow
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_vq6tv87rk3akk48arqs5fsqlq2