Abstract
Many heart patients in rural areas are unable to get the appropriate emergency treatment on time due to the limitations of the IoT wearable sensor connections with a reliable and accurate network. This paper provides a review that aimed to analyze Connectivity, Scheduling and Backup (CSB) components of IoT wearable sensors for smart healthcare. The IoT technology helps to connect the remote patients reliably by establishing the best network connection. This study compares important techniques with different IoT sensors used to detect the vital situations for remote cardiac health monitoring. In IoT health monitoring, Smartphones will be of capable classifying the collected data from the sensors and generate two different signals as emergency and normal for the accurate data transmission. Moreover, Bluetooth Low Energy (BLE) is used to connect the sensor and smartphone whereas 3,4G/WI-Fi is used to connect to the health caregivers with reliable connections. Finally, suitable algorithms will be taken for filtering the data before forwarding to a health center database. This review provides appropriate analysis for network connection, data accuracy with scheduling and backup module for IoT health monitoring.
| Original language | English |
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| Title of host publication | Proceedings of the Second International Conference on Innovations in Computing Research (ICR '23) |
| Editors | Kevin Daimi, Abeer Al Sadoon |
| Place of Publication | Switzerland |
| Publisher | Springer |
| Pages | 280-291 |
| Number of pages | 12 |
| ISBN (Electronic) | 9783031353086 |
| ISBN (Print) | 9783031353079 |
| DOIs | |
| Publication status | Published - 2023 |