With advances in signal processing and computational intelligence, biomedical signal processing is playing a vital role in ushering a new era of healthcare innovation. Beyond traditional signal analysis tools, artificial intelligence and machine learning have gained popularity in analyzing biomedical data, ranging from ECG, EEG, and PPG to medical images such as CT and MRI. Furthermore, biomedical signal processing seamlessly aligns with research and innovation in wearable devices and machine Learning.