The Internet of Medical Things (IoMT) is an amalgamation that represents the medical devices and software applications connected to a health care provider through networking technologies. With the power of collecting, transmitting, and analyzing multi-modal health data, IoMT applications are playing increasingly important roles in the early detection and continuous monitoring of chronic illnesses. They can provide improved healthcare in terms of patient experience, diagnosis and treatments, disease management, management of pharmaceuticals, and so on. The IoMT is said to be transforming healthcare, with the goal to make healthcare more convenient for patients and efficient for providers.

With the continuing progress in information technologies, the applications of IoMT are expected to expand. While offering enormous healthcare benefits, the IoMT is facing various kinds of challenges. Continuous and real-time monitoring of physiological parameters is the basic task of IoMT, and the energy restriction of the sensors prompts the requirement of lightweight signal acquisition and data compression method. Additionally, how to extract medical/health information from the collected physiological data is another challenge. The data analysis may be performed in the wearable device and may also be implemented in the remote data center of the hospital. Different kinds of applications require distinct data analysis approaches. In addition, considering the privacy concerns, the collected data of IoMT should be acquired, transmitted, and analyzed in a secure manner.

The aim of this Special Issue is to collate original research and review articles describing advances in this field.

Potential topics include but are not limited to the following:

• IoT system architectures for healthcare
• Lightweight signal acquisition for IoMT
• Intelligent sensing of IoMT
• Information fusion in IoMT
• Medical data transmission, cleaning, and integration
• Artificial intelligence for medical data mining
• Multi-modal medical data processing
• Information encryption and security in IoMT
• Trustable signal processing for IoMT