LowComplexity Algorithms For EnergyEfficient Arrhythmia Classification In Wearable Devices

In this project, we aim to develop a low-complex arrhythmia classification algorithm that consumes a minimum amount of power and memory and can be implemented in a resource-constrained environment like wearable devices.