Evidence map›Paper›PMID 26538805›Full record

ArticleIndustrial & engineering chemistry research2015

Design and Evaluation of a Robust PID Controller for a Fully Implantable Artificial Pancreas.

Lauren M Huyett, Eyal Dassau, Howard C Zisser, Francis J Doyle

Open access · greenAbstract read
In one paragraph

Article in Industrial & engineering chemistry research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 88 citations in OpenAlex.

  1. Trial
  2. Article
  3. Recent advances in the precision control strategy of artificial pancreas.Medical & biological engineering & computing · 2024
    Review
  4. Review
  5. Article
  6. APL bioengineering · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Embedded Model Predictive Control for a Wearable Artificial Pancreas.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Design of a dual-hormone model predictive control for artificial pancreas with exercise model.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Lauren M HuyettDepartment of Chemical Engineering, University of California Santa Barbara , Santa Barbara, California 93106-5080, United States.
Eyal DassauDepartment of Chemical Engineering, University of California Santa Barbara , Santa Barbara, California 93106-5080, United States.
Howard C ZisserDepartment of Chemical Engineering, University of California Santa Barbara , Santa Barbara, California 93106-5080, United States.
Francis J DoyleDepartment of Chemical Engineering, University of California Santa Barbara , Santa Barbara, California 93106-5080, United States.
University of California, Santa Barbara · US

Funding

An Implanted Intraperitoneal (IP-IP) Artificial Pancreas; a quantum leap forwardDP3DK101068 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI ZISSER, HOWARD · 2013 to 2016
$2.6M
NIDDK NIH HHS DP3 DK101068
6 · The paper itself

Abstract

Treatment of type 1 diabetes mellitus could be greatly improved by applying a closed-loop control strategy to insulin delivery, also known as an artificial pancreas (AP). In this work, we outline the design of a fully implantable AP using intraperitoneal (IP) insulin delivery and glucose sensing. The design process utilizes the rapid glucose sensing and insulin action offered by the IP space to tune a PID controller with insulin feedback to provide safe and effective insulin delivery. The controller was tuned to meet robust performance and stability specifications. An anti-reset windup strategy was introduced to prevent dangerous undershoot toward hypoglycemia after a large meal disturbance. The final controller design achieved 78% of time within the tight glycemic range of 80-140 mg/dL, with no time spent in hypoglycemia. The next step is to test this controller design in an animal model to evaluate the

Identifiers

PMID26538805
PMCPMC4627627
OpenAlexW2156666999

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.