Advancements in IoT and Sensor-Enabled Wearable Devices for Healthcare Applications
Technology has changed how healthcare is delivered- we now have the Internet of Things and sensor-enabled wearable devices today. These improvements have dramatically improved patient results by allowing actual pursuing then data analysis, translating to more customized health care being presented earlier. Linked strategies such as smart watches and suitability chasers have enabled medicinal professionals to access a patient's status remotely. These devices monitor energetic symbols, action stages, and sleeping patterns, provided actual alerts intended for early-stage recognition of fitness problems then chronic and chronic ailments remotely. Such technology facilitates uninterrupted patient-healthcare provider communication, ensuring prompt aid and better interaction. Furthermore, using AI and MI in these devices leads to better analytics for physicians' treatment options. Sensor-enabled wearable have reminded and tracked patients to better comply with treatment plans. This translates into tangible improvements in health and economic outcomes. The healthcare division has experienced an essential alteration owing to the evolution of the IOI and sensor-enabled wearable devices, bringing about better care to patients worldwide and moving one step towards predictive, personalized health. The possibilities these devices offer for changing healthcare are seemingly endless, and as technology gets more advanced, they will continue evolving.
Authors
- B Spoorthi
- Trapty Agarwal
- P. Grace Kanmani Prince (ORCID: https://orcid.org/0000-0002-2595-9635)
- Nitish Vashisht
- Ashmeet Kaur
- Somalina Chowdhury
Institutions
- Jain University (IN)
- Siksha O Anusandhan University (IN)
- Maharishi University of Management and Technology (IN)
- Centre for Research and Development (ZW)
- Sathyabama Institute of Science and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10957159
- Citations
- 1
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.49