IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing
This system offers practical applications for both elderly users and caregivers, enabling real-time monitoring of health conditions. Future enhancements may include integration with artificial intelligence technologies such as machine learning and deep learning to predict health conditions from data patterns, further improving the system's capabilities and effectiveness in elderly care.
Authors
- Jasmine Nurul Izza (ORCID: https://orcid.org/0009-0004-2047-4585)
- Indra Griha Tofik Isa (ORCID: https://orcid.org/0000-0002-7437-6751)
- Yohanes Sinung Nugroho (ORCID: https://orcid.org/0000-0001-6142-3072)
- Hamid Nasrullah (ORCID: https://orcid.org/0000-0001-8265-1314)
- Muhammad Imam Ammarullah (ORCID: https://orcid.org/0000-0002-8845-7202)
- Denny Alfian
- Adhan Efendi (ORCID: https://orcid.org/0000-0002-0269-008X)
- Meli Puspita Sari (ORCID: https://orcid.org/0000-0003-1740-6827)
Institutions
- State University of Malang (ID)
- Diponegoro University (ID)
- Bandung Institute of Technology (ID)
- Sriwijaya University (ID)
- National Chin-Yi University of Technology (TW)
- Padjadjaran University (ID)
Publication Details
- Journal
- Health Science Reports
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/hsr2.70498
- Citations
- 8
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 11.90
Funders
- Strong