Anders Lyngvi Fougner

Anders Lyngvi Fougner
Norwegian University of Science and Technology | NTNU · Department of Engineering Cybernetics

PhD Engineering Cybernetics

About

58
Publications
8,690
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,222
Citations
Introduction
Currently focusing mostly on artificial pancreas (automated insulin dosing/glucose control in diabetes). Exploiting methods within mathematical modelling, system identification, closed-loop control, pattern recognition and machine learning. Previous experience in electromyography (EMG) and myoelectric control in upper limb prosthetics. Google Scholar profile: https://scholar.google.com/citations?user=0qErqCUAAAAJ&hl=en APT website: https://apt-norway.com/
Additional affiliations
January 2018 - present
Norwegian University of Science and Technology
Position
  • Professor (Associate)
Description
  • Biomedical Cybernetics
January 2014 - December 2017
Norwegian University of Science and Technology
Position
  • Fellow
July 2013 - December 2013
St. Olavs Hospital
Position
  • Researcher
Education
August 2008 - April 2013
Norwegian University of Science and Technology
Field of study
  • Engineering Cybernetics
August 2001 - June 2007
Norwegian University of Science and Technology
Field of study
  • Engineering Cybernetics

Publications

Publications (58)
Article
Full-text available
Rapid, accurate and robust glucose measurements are needed to make a safe artificial pancreas for the treatment of diabetes mellitus type 1 and 2. The present gold standard of continuous glucose sensing, subcutaneous (SC) glucose sensing, has been claimed to have slow response and poor robustness towards local tissue changes such as mechanical pres...
Conference Paper
Full-text available
In patients with diabetes mellitus type 1, the pancreatic insulin production ceases, causing raise in blood glucose level (BGL) and potentially severe long-term complications. The “holy grail” of diabetes treatment is the artificial pancreas (AP), a closed-loop control system that regulates the user's BGL by infusing insulin, and possibly glucagon....
Thesis
Full-text available
Due to copyright issues, some papers are excluded from the online full-text version, BUT full-text with all papers included is available on request! From a prosthesis user's viewpoint there is a wide range of challenges in prosthesis research, despite the recent progression in development and manufacturing of multifunction prostheses. A small part...
Article
Full-text available
Reported studies on pattern recognition of electromyograms (EMG) for the control of prosthetic devices traditionally focus on classification accuracy of signals recorded in a laboratory. The difference between the constrained nature in which such data are often collected and the unpredictable nature of prosthetic use is an example of the semantic g...
Conference Paper
Currently, continuous glucose monitoring sensors are used in the artificial pancreas to monitor blood glucose levels. However, insulin and glucagon concentrations in different parts of the body cannot be measured in real-time, and determining body glucagon sensitivity is not feasible. Estimating these states provides more information about the curr...
Article
Objective: The design of an Artificial Pancreas to regulate blood glucose levels requires reliable control methods. Model Predictive Control has emerged as a promising approach for glycemia control. However, model-based control methods require computationally simple and identifiable mathematical models that represent glucose dynamics accurately, w...
Conference Paper
An open source simulation model of the mechanical properties of a fully functional insulin pump was made in Matlab Simscape. The model simulates realistic behavior of an insulin pump, parts of which are validated against real-world systems. Simulations include mechanical forces and internal pressures, and the following fluid dynamics. Failure modes...
Article
Full-text available
The intraperitoneal route of administration accounts for less than 1% of insulin treatment regimes in patients with diabetes mellitus type 1 (DM1). Despite being used for decades, a systematic review of various physiological effects of this route of insulin administration is lacking. Thus, the aim of this systematic review was to identify the physi...
Article
Full-text available
Introduction The effect of intraperitoneal insulin infusion has limited evidence in the literature. Therefore, the aim of the study was to investigate the pharmacokinetics and pharmacodynamics of different intraperitoneal insulin boluses. There is a lack of studies comparing the insulin appearance in the systemic circulation after intraperitoneal c...
Preprint
Full-text available
Objective: The design of an Artificial Pancreas to regulate blood glucose levels requires reliable control methods. Model Predictive Control has emerged as a promising approach for glycemia control. However, model-based control methods require computationally simple and identifiable mathematical models that represent glucose dynamics accurately, wh...
Article
Full-text available
Glucagon is a pancreatic hormone and increases the blood glucose levels. It may be incorporated in a dual hormone artificial pancreas, a device to automatically and continuously control blood glucose levels of individuals with diabetes. Artificial pancreas systems have been developed for use in the subcutaneous tissue; however, the systems are not...
Conference Paper
The design of a model-based control method for an Artificial Pancreas requires a relatively simple and identifiable mathematical model to control glucose levels through hormone delivery. In this work we introduce new, simple nonlinear models to simulate data from experiments where insulin boluses are administrated in the peritoneal cavity. The mode...
Conference Paper
Full-text available
A typical artificial pancreas depends only on the continuous glucose monitoring (CGM) value for insulin dosing. However, both the insulin infusion and the glucose sensing are subject to time delays and slow dynamics. An automated and reliable meal onset information could enhance the control outcome of artificial pancreas by making it possible to in...
Conference Paper
A typical artificial pancreas depends only on the continuous glucose monitoring (CGM) value for insulin dosing. However, both the insulin infusion and the glucose sensing are subject to time delays and slow dynamics. An automated and reliable meal onset information could enhance the control outcome of artificial pancreas by making it possible to in...
Article
Full-text available
Background In classical approaches for an artificial pancreas, continuous glucose monitoring (CGM) is the only measured variable used for insulin dosing and additional control functions. The CGM values are subject to time delays and slow dynamics between blood and the sensing location. These time lags compromise the controller's performance in main...
Conference Paper
Glucose-insulin metabolism models are useful tools for research on diabetes, in development of diabetes-related medical devices like artificial pancreas systems, insulin pumps and continuous glucose monitors, and may also play a role in personalized decision support tools for people with diabetes. Such models are often highly nonlinear with many pa...
Article
The artificial pancreas requires fast and reliable glucose measurements. The peritoneal space has shown promising results, and in one of our studies we detected glucose changes in the peritoneal space already at the same time as in the femoral artery. The peritoneal lining is highly vascularised, covered by a single layer of mesothelial cells and t...
Article
Closed-loop glucose control has the potential to improve the glycemic control in patients with diabetes mellitus type 1. Such an artificial pancreas (AP) should keep the user safe despite all disturbances and faults. The objective of this paper is to analyze those perturbations according to their effects on the glycemic status, and thereby supporti...
Article
Accurate continuous glucose monitoring (CGM) is essential for fully automated glucose control in diabetes mellitus type 1. State-of-the-art glucose control systems automatically regulate the basal insulin infusion. Users still need to manually announce meals to dose the prandial insulin boluses. An automated meal detection could release the user an...
Article
Full-text available
Background The analysis of abdominal sounds can help to diagnose gastro-intestinal diseases. Sounds originating from the stomach and the intestine, the so-called bowel sounds, occur in various forms. They are described as loose successions or clusters of rather sudden bursts. Realistic recordings of abdominal sounds are contaminated with noise and...
Poster
Full-text available
Background Aim: Investigate the effect of intraperitoneal (IP) insulin boluses with respect to insulin absorption and the effect on blood glucose levels.
Article
A method for preprocessing a time series of glucose measurements based on Kalman smoothing is presented. Given a glucose data time series that may be irregularly sampled, the method outputs an interpolated time series of glucose estimates with mean and variance. The method can provide homogenization of glucose data collected from different devices...
Article
Full-text available
Objective Hypoglycemia is a frequent and potentially dangerous event among patients with diabetes mellitus type 1. Subcutaneous glucagon is an emergency treatment to counteract severe hypoglycemia. The effect of intraperitoneal glucagon delivery is sparsely studied. We performed a direct comparison of the blood glucose response following intraperit...
Article
Full-text available
Freestyle Libre (FL) is a factory calibrated Flash Glucose Monitor (FGM). We investigated Mean Absolute Relative Difference (MARD) between Self Monitoring of Blood Glucose (SMBG) and FL measurements in the first day of sensor wear in 39 subjects with Type 1 diabetes. The overall MARD was 12.3%, while the individual MARDs ranged from 4% to 25%. Five...
Article
Full-text available
Background In diabetes research, the development of the artificial pancreas has been a major topic since continuous glucose monitoring became available in the early 2000’s. A prerequisite for an artificial pancreas is fast and reliable glucose sensing. However, subcutaneous continuous glucose monitoring carries the disadvantage of slow dynamics. As...
Data
Output from statistical analysis in R for comparisons of IP sensors. (DOCX)
Data
Output from statistical analysis in R for comparison of SC and IP sensors. (DOCX)
Article
People with diabetes mellitus type 1 could benefit from fully automated systems for glucose control. However, faults in any component of the system can severely compromise the safety of the user. An increasing degree of automation also increases the risk that faults remain undiscovered for longer periods - unless automated routines for fault detect...
Presentation
Full-text available
Comparison of Flash Glucose Monitor (FGM) measurements to frequent Self Monitor Blood Glucose measurements (SMBG) in the first day of use. Investigation of bias and lag.
Conference Paper
Full-text available
Conference paper presented at IEEE CCTA 2017 in Hawaii, US.
Conference Paper
Full-text available
Meals are most challenging in the regulation of blood glucose levels (BGL) in diabetes mellitus type 1, whether it is automated, semi-automated or manually controlled. The common subcutaneous (SC) route for glucose sensing and insulin administration suffers from large latencies. This paper investigates the impact of glucose sensing and insulin abso...
Article
Full-text available
Introduction Patients with diabetes type 1 (DM1) struggle daily to achieve good glucose control. The last decade has seen a rush of research groups working towards an artificial pancreas (AP) through the application of a double subcutaneous approach, i.e., subcutaneous (SC) continuous glucose monitoring (CGM) and continuous subcutaneous insulin inf...
Article
Full-text available
Pattern recognition control of prosthetic hands take inputs from one or more myoelectric sensors and controls one or more degrees of freedom. However, most systems created allow only sequential control of one motion class at a time. Additionally, only recently have researchers demonstratedproportional myoelectric control in such systems, an option...
Conference Paper
Full-text available
http://dukespace.lib.duke.edu/dspace/handle/10161/4730
Article
Full-text available
For decades, electromyography (EMG) has been used for diagnostics, upper-limb prosthesis control, and recently even for more general human-machine interfaces. Current commercial upper limb prostheses usually have only two electrode sites due to cost and space limitations, while researchers often experiment with multiple sites. Micro-machined inerti...
Conference Paper
Full-text available
Background: Intraoperative ischemia during coronary surgery may have severe consequences for the patient and may also pose a difficult diagnostic problem to the surgeon. There is no clinically used direct method to evaluate the effect on the circulation of various therapeutic maneuvers to the heart. Augmented (mixed) reality using projection of colo...
Article
Full-text available
Pattern recognition of myoelectric signals for the control of prosthetic devices has been widely reported and debated. A large portion of the literature focuses on offline classification accuracy of pre-recorded signals. Historically, however, there has been a semantic gap between research findings and a clinically viable implementation. Recently,...
Conference Paper
Full-text available
Simultaneous proportional control of multifunctional upper-limb prostheses has been tested on a selection of features of electromyographic signals, on data sets from 8 healthy subjects. A linear mapping function was trained and used to estimate four angles of the wrist and the hand. It appears that multiple signal features can be combined to improv...
Conference Paper
Full-text available
As multifunction prostheses become increasingly common, there is a need for improved control signal quality in order to control all the functions. Most signals commonly used for prosthesis control are sensitive to sweat, motion and external forces [1], which impairs prosthesis control performance. We have developed a prototype surface electromyogra...
Thesis
Full-text available
Full-text link: http://daim.idi.ntnu.no/masteroppgave?id=3324

Network

Cited By

Projects

Projects (5)
Project
The project aims at early detection of meal onset using sensors for e.g abdominal sounds and other information sources. Early meal onset detection may reduce the delay in administration of insulin in subjects with diabetes type 1. The "Listening to the patients" project belongs to the Artificial Pancreas Trondheim research group (APT), which is a cross-disciplinary group of researchers with high competence in the fields of control engineering, biomedical engineering, biosensors, applied clinical research, endocrinology, anesthesia and intensive care medicine, pharmacology, biotechnology, mathematical modelling, biochemistry and chemometrics, as well as collaboration with relevant biosensor industry. The long-term aim of APT’s research is to develop a robust closed-loop glucose control system for patients with diabetes mellitus type 1 and 2 and for intensive-care patients, and to commercialize an artificial pancreas based on these results.
Archived project
Review and assess the existing methods used for proportional control; Develop and demonstrate methods for artifact cancellation to increase the control reliability; Design and implement a viable strategy for coordinated proportional control of multiple joints; Suggest an unambiguous terminology for prosthesis control systems; Contribute to the clinical assessment of the results.
Archived project
Duplicate of https://www.researchgate.net/project/Artificial-Pancreas-Trondheim