Employing IoT in Biomedical Devices: Improving Remote Health Monitoring, Diagnosis, and Treatment with Sophisticated Sensor Networks and Data Connectivity
Integrating sophisticated sensor networks and real-time data connectivity with biomedical devices, the Internet of Things (IoT) is transforming the healthcare industry. The potential for biomedical equipment connected to the internet of things to revolutionize remote health monitoring, diagnosis, and treatment is discussed in this article. Reduced healthcare expenditures and patient wait times are just a few benefits of the Internet of Things (IoT) coming together with healthcare to improve patient monitoring in real time. Wearable and implantable Internet of Things (IoT) sensors record critical physiological parameters including oxygen saturation, blood pressure, glucose levels, and heart rate. For faster, more precise diagnoses and tailored treatment programs, this data is safely sent to medical experts for real-time processing. The quality of treatment can be enhanced by using IoT devices to identify trends and forecast patient outcomes through the use of cloud-based platforms and machine learning algorithms. Additional difficulties covered in the article include privacy and data security issues as well as the requirement for standardized protocols to guarantee healthcare system and device interoperability. Biomedical devices powered by the Internet of Things have the ability to revolutionize healthcare by meeting the increasing need for remote healthcare solutions, improving patient outcomes, and encouraging preventive care.
Authors
- Uma Maheswari S
- Sylvia Grace J
- Velu Aiyyasamy
- Kavitha Soppari (ORCID: https://orcid.org/0000-0002-5343-2320)
- Kalaipriya Omprakash
- A. Bajulunisha
Institutions
- Goverment Siddha Medical College (IN)
- Sathyabama Institute of Science and Technology (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/emergin63207.2024.10960857
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00