ArticleJournal of diabetes science and technology2015
Incorporating an Exercise Detection, Grading, and Hormone Dosing Algorithm Into the Artificial Pancreas Using Accelerometry and Heart Rate.
Article in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 56 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Testing and Tuning a Multiparameter Exercise Detection Algorithm
Evaluating the Dynamics of Insulin and Non-insulin Mediated Effects on Glucose During Aerobic Exercise in Subjects With Type 1 Diabetes
Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.
- Machine Learning and Smart Devices for Diabetes Management: Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial.The Lancet. Digital health · 2023Trial
- Trial
- Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.Journal of diabetes science and technology · 2019Trial
- Closed loop control in adolescents and children during winter sports: Use of the Tandem Control-IQ AP system.Pediatric diabetes · 2019Trial
- Randomized Outpatient Trial of Single- and Dual-Hormone Closed-Loop Systems That Adapt to Exercise Using Wearable Sensors.Diabetes care · 2018Trial
- Trial
- Mitigating Reductions in Glucose During Exercise on Closed-Loop Insulin Delivery: The Ex-Snacks Study.Diabetes technology & therapeutics · 2016Trial
- Randomized trial of a dual-hormone artificial pancreas with dosing adjustment during exercise compared with no adjustment and sensor-augmented pump therapy.Diabetes, obesity & metabolism · 2016Trial
- A hierarchical network model for the estimate of the energy expenditure in individuals with type 1 diabetes.Engineering applications of artificial intelligence · 2025Article
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Diabetes technology & therapeutics · 2025Review
- Metabolic Models, in Silico Trials, and Algorithms.Diabetes technology & therapeutics · 2025Review
- Metabolic Models, in Silico Trials, and Algorithms.Journal of diabetes science and technology · 2025Review
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2025Review
- Dosing Algorithms for Insulin Pumps.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Online Classification of Unstructured Free-Living Exercise Sessions in People with Type 1 Diabetes.Diabetes technology & therapeutics · 2024Article
- Design of a Real-Time Physical Activity Detection and Classification Framework for Individuals With Type 1 Diabetes.Journal of diabetes science and technology · 2024Article
- Detection of Meals and Physical Activity Events From Free-Living Data of People With Diabetes.Journal of diabetes science and technology · 2023Article
- The Type 1 Diabetes and EXercise Initiative: Predicting Hypoglycemia Risk During Exercise for Participants with Type 1 Diabetes Using Repeated Measures Random Forest.Diabetes technology & therapeutics · 2023Article
- Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence.NPJ digital medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
In this article, we present several important contributions necessary for enabling an artificial endocrine pancreas (AP) system to better respond to exercise events. First, we show how exercise can be automatically detected using body-worn accelerometer and heart rate sensors. During a 22 hour overnight inpatient study, 13 subjects with type 1 diabetes wearing a Zephyr accelerometer and heart rate monitor underwent 45 minutes of mild aerobic treadmill exercise while controlling their glucose levels using sensor-augmented pump therapy. We used the accelerometer and heart rate as inputs into a validated regression model. Using this model, we were able to detect the exercise event with a sensitivity of 97.2% and a specificity of 99.5%. Second, from this same study, we show how patients' glucose declined during the exercise event and we present results from in silico modeling that demonstrate how including an exercise model in the glucoregulatory model improves the estimation of the drop in glucose during exercise. Last, we present an exercise dosing adjustment algorithm and describe parameter tuning and performance using an in silico glucoregulatory model during an exercise event.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.