Pursuit of knowledge and contributions to research and innovation for the societal benefits have been core aspects of my scientific journey. The interest in biomedical signal analysis started when I was in my undergraduate class on signals and systems and happen to visit my uncle in the emergency ward in which the monitor next to him displayed vital signals. The curi- osity of representing those vital signals with the mathematical concepts learnt in the signals and systems course led me to pursue fourth-year capstone design project followed by graduate studies in the area, and eventually as a professor investigating various model-based and data-driven approaches for biomedical signal processing, analysis, and interpretation. Over the course of learning, the ideas from electronics, telecommunication, infor- mation theory, machine learning, and human-centered design have shaped my understanding of the domain of biomedical signal analysis for connected healthcare. In the past 10 years, through the various workshops and tutorials that we have con- ducted, the audience were more interested to learn the concepts systematically so that the techniques could apply to any biomedical signal analysis. Followed by an IEEE Engineering in Medicine and Biology Society (EMBS) conference workshop on the same topic, the Elsevier team approached me to consider writing a book on this topic. During book writing, the pandemic stuck, and that also led to further strengthening certain topics of the book on the aspects of connected and telehealth possibilities.