Internet of Things (IoT) is the intercommunication of various objects in the real-time scenario using networking technologies. The IoT has evolutionally in various sectors such as smart environment, smart city, smart home, agriculture field, and healthcare systems.

Through medical equipment using Internet of Things, the patient’s parameters can be stored, transmitted, and analysed. The Internet of Things is used in the medical field to bring solutions for patient monitoring and reduce the trade-off between patient outcomes and health management systems. The idea is designed using IoT, so that the data can be sent to an inaccessible server from where it can be measured. The mathematical modelling of health management system is done with predictive modelling which is better than other techniques, and the performance measure is evaluated. The significant challenge in implementing the system is the portability, low cost, and user friendliness. The Internet has become a vital part of one’s life; to take this to the next step, the Internet has been connected to medical kits. Using smart technologies, all devices are connected to one another to create a worldwide ubiquitous network.

The objective of this Special Issue is to develop a best mathematical model for health management system for rural people. We welcome original submissions and review articles on this topic.

Potential topics include but are not limited to the following:

• Design of the mathematical model for Internet of medical Things (IoMT)
• Advanced mathematical model for connected Health care
• Mathematical modelling of wearable devices for real-time processing
• Real Time series analysis for physiological signals
• Mathematical model for brain signal interface
• Modelling of patient led data acquisition from their homes
• Modelling of real time ECG signal monitoring with IoT features
• Mathematical model for brain computer interface development with IoT
• Challenges in mathematic modelling of IoT for EEG cap interfaces
• IoT based mathematic modelling of heart sounds and its variability for intimation of abnormalities
• IoT based mathematic modelling for medical image classification for detection of abnormalities
• Mathematical modelling of real-time noninvasive medical scanner
• IoT based modelling of fusion of medical Images with SPECT, PET, CT, MRI
• IoT based mathematical modelling of EOG signals for mapping of retina
• IoT modelling of electroretinogram (ERG)
• IoT based EMG mathematical model establishment for sports
• Mathematical model for quantification of muscle power using EMG for physically challenged