Wearable sensors have revolutionized healthcare by providing real-time measures of symptoms and body function impairments. They empower patients through shared decision-making, fostering improved transparency, health literacy, and engagement. Wearable sensors contribute to the realm of personalized medicine, facilitating prevention, prediction, diagnosis, treatment selection, and ongoing monitoring. The convergence of a data-driven healthcare approach and the generation of wearable sensor-derived real-world data stand as a cornerstone in modern healthcare. The present chapter aims to explain the different technical solutions that are applied in wearable sensors in respect to the objective data that is generated by the applied algorithmic computation models.