Algorithmic heartbeat with bio-inspired algorithms in cardiac health monitoring

The cardiovascular diseases hold the first position as the leading cause of death globally, therefore, the need for early diagnosis as well as prompt intervention and management to avoid or minimize the effect the diseases could have on human health is inevitable. This chapter holds applications, benefits and challenges of cardiac health monitoring using bio-inspired algorithms. The first part of the chapter is based on an approach whereby a bio-inspired algorithm is explained in a detail manner. The intelligence that just imitates biological life as including genetic evolution, swarm intelligence and neural networks in cardiac data is made concentrated and has superior accuracy in anomaly detection. The chapter is followed by stripping down into the key functional fields of these bio-inspired algorithms for cardiac health monitoring, and robust classification. Perspectives of human-like algorithm use in real-life clinical cases are also addressed, as related to data privacy, comprehensibility and regulation. This section will be descriptive about the deep dive into Algorithmic Heartbeat in which biologically inspired Algorithms are used to monitoring patients' heart health. It let people realize the place from which this developing field of bio-inspired algorithms can thrive in cardiac health monitoring which provides the platform for innovation.