Developing a Health Support System to Promote Care for the Elderly
In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/2/455 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832587492304355328 |
|---|---|
| author | Marcell Szántó Lehel Dénes-Fazakas Erick Noboa Levente Kovács Döníz Borsos György Eigner Éva-H. Dulf |
| author_facet | Marcell Szántó Lehel Dénes-Fazakas Erick Noboa Levente Kovács Döníz Borsos György Eigner Éva-H. Dulf |
| author_sort | Marcell Szántó |
| collection | DOAJ |
| description | In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or as a precaution for a specific individual, it is advantageous to utilize monitoring equipment to track their biological parameters on an ongoing basis. This equipment can minimize the risk of serious accidents or severe health hazards. The objective of the present research project is to design an armband with an accurate location tracking system. This is of particular importance for individuals with dementia and Alzheimer’s disease, who frequently leave their homes and are unable to find their way back. The proposed armband also includes a fingerprint identification system that allows only authorized personnel to use it. Furthermore, in hospitals and healthcare facilities the biometric identification system can be used to trace periodic medical or nursing visits. This process improves the reliability and transparency of healthcare. The test results indicate that the armband functions in accordance with the desired design specifications, with performance evaluation of the main features including fall detection, where a hit rate of 100% was obtained, a fingerprint recognition test demonstrating accuracy from 88% to 100% on high-quality samples, and a GPS tracking test determining position with a difference of between 1.8 and 2.1 m. The proposed solution may be of benefit to healthcare professionals, supported housing providers, elderly people as target users, or their family members. |
| format | Article |
| id | doaj-art-494374ad5e9846edb4a6d1235cea4981 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-494374ad5e9846edb4a6d1235cea49812025-01-24T13:48:59ZengMDPI AGSensors1424-82202025-01-0125245510.3390/s25020455Developing a Health Support System to Promote Care for the ElderlyMarcell Szántó0Lehel Dénes-Fazakas1Erick Noboa2Levente Kovács3Döníz Borsos4György Eigner5Éva-H. Dulf6Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, HungaryBiomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, HungaryApplied Informatics and Applied Mathematics Doctoral School, Obuda University, 1034 Budapest, HungaryBiomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, HungaryInstitute of Instrumentation and Automation, Kandó Kálmán Faculty of Electrical Engineering, Obuda University, 1034 Budapest, HungaryBiomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, HungaryPhysiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, HungaryIn light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or as a precaution for a specific individual, it is advantageous to utilize monitoring equipment to track their biological parameters on an ongoing basis. This equipment can minimize the risk of serious accidents or severe health hazards. The objective of the present research project is to design an armband with an accurate location tracking system. This is of particular importance for individuals with dementia and Alzheimer’s disease, who frequently leave their homes and are unable to find their way back. The proposed armband also includes a fingerprint identification system that allows only authorized personnel to use it. Furthermore, in hospitals and healthcare facilities the biometric identification system can be used to trace periodic medical or nursing visits. This process improves the reliability and transparency of healthcare. The test results indicate that the armband functions in accordance with the desired design specifications, with performance evaluation of the main features including fall detection, where a hit rate of 100% was obtained, a fingerprint recognition test demonstrating accuracy from 88% to 100% on high-quality samples, and a GPS tracking test determining position with a difference of between 1.8 and 2.1 m. The proposed solution may be of benefit to healthcare professionals, supported housing providers, elderly people as target users, or their family members.https://www.mdpi.com/1424-8220/25/2/455dementiaAlzheimer’s diseaseelderlyhealthcaresafetyLoRaWAN |
| spellingShingle | Marcell Szántó Lehel Dénes-Fazakas Erick Noboa Levente Kovács Döníz Borsos György Eigner Éva-H. Dulf Developing a Health Support System to Promote Care for the Elderly Sensors dementia Alzheimer’s disease elderly healthcare safety LoRaWAN |
| title | Developing a Health Support System to Promote Care for the Elderly |
| title_full | Developing a Health Support System to Promote Care for the Elderly |
| title_fullStr | Developing a Health Support System to Promote Care for the Elderly |
| title_full_unstemmed | Developing a Health Support System to Promote Care for the Elderly |
| title_short | Developing a Health Support System to Promote Care for the Elderly |
| title_sort | developing a health support system to promote care for the elderly |
| topic | dementia Alzheimer’s disease elderly healthcare safety LoRaWAN |
| url | https://www.mdpi.com/1424-8220/25/2/455 |
| work_keys_str_mv | AT marcellszanto developingahealthsupportsystemtopromotecarefortheelderly AT leheldenesfazakas developingahealthsupportsystemtopromotecarefortheelderly AT ericknoboa developingahealthsupportsystemtopromotecarefortheelderly AT leventekovacs developingahealthsupportsystemtopromotecarefortheelderly AT donizborsos developingahealthsupportsystemtopromotecarefortheelderly AT gyorgyeigner developingahealthsupportsystemtopromotecarefortheelderly AT evahdulf developingahealthsupportsystemtopromotecarefortheelderly |