Self-Care IoT Platform for Diabetic Mellitus
Diabetes mellitus is a severe chronic disease, and the number of patients has increased. To manage blood glucose levels, patients should frequently measure their blood glucose and analyze which lifestyle habits affect blood glucose levels. However, it is hard to record and analyze the relationship b...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/5/2006 |
| _version_ | 1797395468446072832 |
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| author | Jai-Chang Park Seongbeom Kim Je-Hoon Lee |
| author_facet | Jai-Chang Park Seongbeom Kim Je-Hoon Lee |
| author_sort | Jai-Chang Park |
| collection | DOAJ |
| description | Diabetes mellitus is a severe chronic disease, and the number of patients has increased. To manage blood glucose levels, patients should frequently measure their blood glucose and analyze which lifestyle habits affect blood glucose levels. However, it is hard to record and analyze the relationship between their blood glucose levels and lifestyle. The internet of things (IoT) is useful to interconnect, monitor, obtain, and process data between various devices used in everyday life to fulfill a common objective. This paper proposes an intelligent self-care platform using IoT technology that helps patients with chronic diabetes manage their blood glucose levels in their target range. In particular, we developed various devices called the self-care IoT pack. It consists of five different types of devices to obtain blood glucose levels, physical activities, food intake, medication, sleeping, and so on. They can collect blood glucose levels with lifestyles that automatically impact the patient’s blood glucose level. We also devised a self-care application to display and analyze the data obtained from the IoT pack. Consequently, the proposed self-care IoT platform collects the blood glucose levels and the lifestyles without any burden of record. By reviewing the accumulated information, the patients can find bad habits in blood glucose management and improve their lifestyle. |
| first_indexed | 2024-03-09T00:34:59Z |
| format | Article |
| id | doaj.art-dc98e2f6975041c6b1b2336ce7d1db1b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T00:34:59Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-dc98e2f6975041c6b1b2336ce7d1db1b2023-12-11T18:16:08ZengMDPI AGApplied Sciences2076-34172021-02-01115200610.3390/app11052006Self-Care IoT Platform for Diabetic MellitusJai-Chang Park0Seongbeom Kim1Je-Hoon Lee2Robot SW R&D Team, Angel Robotics Co., Seoul 04798, KoreaDepartment of Mechanical Design Engineering, Kangwon National University, Samcheock-si 25913, KoreaDivison of Electronics, Information and Communication Engineering, Kangwon National University, Samcheock-si 25913, KoreaDiabetes mellitus is a severe chronic disease, and the number of patients has increased. To manage blood glucose levels, patients should frequently measure their blood glucose and analyze which lifestyle habits affect blood glucose levels. However, it is hard to record and analyze the relationship between their blood glucose levels and lifestyle. The internet of things (IoT) is useful to interconnect, monitor, obtain, and process data between various devices used in everyday life to fulfill a common objective. This paper proposes an intelligent self-care platform using IoT technology that helps patients with chronic diabetes manage their blood glucose levels in their target range. In particular, we developed various devices called the self-care IoT pack. It consists of five different types of devices to obtain blood glucose levels, physical activities, food intake, medication, sleeping, and so on. They can collect blood glucose levels with lifestyles that automatically impact the patient’s blood glucose level. We also devised a self-care application to display and analyze the data obtained from the IoT pack. Consequently, the proposed self-care IoT platform collects the blood glucose levels and the lifestyles without any burden of record. By reviewing the accumulated information, the patients can find bad habits in blood glucose management and improve their lifestyle.https://www.mdpi.com/2076-3417/11/5/2006internet of thingsdiabetesself-care managementself-monitoring blood glucosehealthcare monitoringmobile health |
| spellingShingle | Jai-Chang Park Seongbeom Kim Je-Hoon Lee Self-Care IoT Platform for Diabetic Mellitus Applied Sciences internet of things diabetes self-care management self-monitoring blood glucose healthcare monitoring mobile health |
| title | Self-Care IoT Platform for Diabetic Mellitus |
| title_full | Self-Care IoT Platform for Diabetic Mellitus |
| title_fullStr | Self-Care IoT Platform for Diabetic Mellitus |
| title_full_unstemmed | Self-Care IoT Platform for Diabetic Mellitus |
| title_short | Self-Care IoT Platform for Diabetic Mellitus |
| title_sort | self care iot platform for diabetic mellitus |
| topic | internet of things diabetes self-care management self-monitoring blood glucose healthcare monitoring mobile health |
| url | https://www.mdpi.com/2076-3417/11/5/2006 |
| work_keys_str_mv | AT jaichangpark selfcareiotplatformfordiabeticmellitus AT seongbeomkim selfcareiotplatformfordiabeticmellitus AT jehoonlee selfcareiotplatformfordiabeticmellitus |