Internet of Things (IoT) technology is witnessing widespread integration across diverse sectors including manufacturing, automotive, and healthcare. It has a vast application area and exponential growth rate. Lately, IoT has seen remarkable utility in the healthcare sector. The technology of IoT used in the medical field is called the Internet of Medical Things (IoMT). The sensitive biomedical data of patients need a secure transit and cloud storage. Securing the data at the sensor level or transit level is a challenging task. The huge amount of data exchanged between IoT nodes and the cloud brings new risks and more challenges. People illicitly obtain personal identifiable information (PII) and misuse it for various unlawful purposes. Few encryption algorithms are specifically designed for low-power IoT nodes but are vulnerable to attacks. There is a need for extensive analysis of the existing algorithms specifically for IoMT applications. This paper focuses on the five encryption algorithms that consume less power and memory and can be used at the end nodes of an IoMT network. These algorithms are implemented in C and analyzed with respect to important performance metrics such as memory size and execution time. The performance of algorithms has been tested with values of biomedical parameters.