LowComplexity Algorithms For EnergyEfficient Arrhythmia Classification In Wearable Devices
Created: 02-02-2025 Forks: 1 Watchers: 0 Stars: 0
Description
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.
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