Morten H Jensen

Summary

Affiliation: Aalborg University
Country: Denmark

Publications

  1. doi request reprint Real-time hypoglycemia detection from continuous glucose monitoring data of subjects with type 1 diabetes
    Morten Hasselstrøm Jensen
    Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7, Aalborg, Denmark
    Diabetes Technol Ther 15:538-43. 2013
  2. pmc Professional continuous glucose monitoring in subjects with type 1 diabetes: retrospective hypoglycemia detection
    Morten Hasselstrøm Jensen
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
    J Diabetes Sci Technol 7:135-43. 2013
  3. doi request reprint Moving prediction of exacerbation in chronic obstructive pulmonary disease for patients in telecare
    Morten H Jensen
    Department of Health Science and Technology, Aalborg University, Denmark
    J Telemed Telecare 18:99-103. 2012

Detail Information

Publications3

  1. doi request reprint Real-time hypoglycemia detection from continuous glucose monitoring data of subjects with type 1 diabetes
    Morten Hasselstrøm Jensen
    Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7, Aalborg, Denmark
    Diabetes Technol Ther 15:538-43. 2013
    ..The aim of this study was to develop a pattern classification model to optimize real-time hypoglycemia detection...
  2. pmc Professional continuous glucose monitoring in subjects with type 1 diabetes: retrospective hypoglycemia detection
    Morten Hasselstrøm Jensen
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
    J Diabetes Sci Technol 7:135-43. 2013
    ..The objective of this study was to develop an automated pattern recognition algorithm to detect hypoglycemic events in retrospective, professional CGM...
  3. doi request reprint Moving prediction of exacerbation in chronic obstructive pulmonary disease for patients in telecare
    Morten H Jensen
    Department of Health Science and Technology, Aalborg University, Denmark
    J Telemed Telecare 18:99-103. 2012
    ..73, i.e. it is possible to discriminate between periods of exacerbation and periods without. A system capable of predicting risk could provide support to COPD patients in their tele-rehabilitation...