%0 Journal Article %1 Jara2011 %A Jara, Antonio J. %A Zamora, Miguel A. %A Skarmeta, Antonio F. %C London, UK, UK %D 2011 %I Springer-Verlag %J Personal Ubiquitous Comput. %K internetofthings iot ubiquitouscomputing %P 431--440 %R 10.1007/s00779-010-0353-1 %T An internet of things---based personal device for diabetes therapy management in ambient assisted living (AAL) %U http://dx.doi.org/10.1007/s00779-010-0353-1 %V 15 %X Diabetes therapy management in AAL environments, such as old people and diabetes patients homes, is a very difficult task since many factors affect a patient's blood sugar levels. Factors such as illness, treatments, physical and psychological stress, physical activity, drugs, intravenous fluids and change in the meal plan cause unpredictable and potentially dangerous fluctuations in blood sugar levels. Right now, operations related to dosage are based on insulin infusion protocol boards, which are provided by physicians to the patients. These boards are not considering very influential factors such as glycemic index from the diet, consequently patients need to estimate the dosage leading to dose error, which culminates in hyperglycemia and hypoglycemia episode. Therefore, right insulin infusion calculation needs to be supported by the next generation of personal-care devices. For this reason, a personal device has been developed to assist and consider more factors in the insulin therapy dosage calculation. The proposed solution is based on Internet of things in order to, on the one hand, support a patient's profile management architecture based on personal RFID cards and, on the other hand, provide global connectivity between the developed patient's personal device based on 6LoWPAN, nurses/physicians desktop application to manage personal health cards, glycemic index information system, and patient's web portal. This solution has been evaluated by a multidisciplinary group formed by patients, physicians, and nurses.

@article{Jara2011, abstract = {Diabetes therapy management in AAL environments, such as old people and diabetes patients homes, is a very difficult task since many factors affect a patient's blood sugar levels. Factors such as illness, treatments, physical and psychological stress, physical activity, drugs, intravenous fluids and change in the meal plan cause unpredictable and potentially dangerous fluctuations in blood sugar levels. Right now, operations related to dosage are based on insulin infusion protocol boards, which are provided by physicians to the patients. These boards are not considering very influential factors such as glycemic index from the diet, consequently patients need to estimate the dosage leading to dose error, which culminates in hyperglycemia and hypoglycemia episode. Therefore, right insulin infusion calculation needs to be supported by the next generation of personal-care devices. For this reason, a personal device has been developed to assist and consider more factors in the insulin therapy dosage calculation. The proposed solution is based on Internet of things in order to, on the one hand, support a patient's profile management architecture based on personal RFID cards and, on the other hand, provide global connectivity between the developed patient's personal device based on 6LoWPAN, nurses/physicians desktop application to manage personal health cards, glycemic index information system, and patient's web portal. This solution has been evaluated by a multidisciplinary group formed by patients, physicians, and nurses.}, acmid = {1969439}, added-at = {2012-03-10T20:09:05.000+0100}, address = {London, UK, UK}, author = {Jara, Antonio J. and Zamora, Miguel A. and Skarmeta, Antonio F.}, biburl = {https://www.bibsonomy.org/bibtex/2141e8469bf332cbefe361631028a0b22/subproletarian}, description = {An internet of things---based personal device for diabetes therapy management in ambient assisted living (AAL)}, doi = {10.1007/s00779-010-0353-1}, interhash = {2445d8e33c71c4f701793dc6cf3601c5}, intrahash = {141e8469bf332cbefe361631028a0b22}, issn = {1617-4909}, issue = {4}, journal = {Personal Ubiquitous Comput.}, keywords = {internetofthings iot ubiquitouscomputing}, month = {April}, numpages = {10}, pages = {431--440}, publisher = {Springer-Verlag}, timestamp = {2012-03-10T20:09:40.000+0100}, title = {An internet of things---based personal device for diabetes therapy management in ambient assisted living (AAL)}, url = {http://dx.doi.org/10.1007/s00779-010-0353-1}, volume = 15, year = 2011 }