Technology is integral to our lives, impacting everything from daily tasks to critical fields like healthcare. While computers excel at technical tasks, translating intuitive concepts like rhythm into computer logic can be challenging. Detecting rhythm is natural for humans, as seen in activities like tapping or nodding to music. Over time, various beat detection algorithms have been developed for applications such as audio visualization and cardiology, where they monitor heartbeats and rhythms to identify diseases.
