BioMedTech Hub

Introduction Biomedical Signal Processing (BSP) is one of the most important areas of Biomedical Engineering. It involves the acquisition, analysis, interpretation, and processing of physiological signals generated by the human body. These signals contain valuable information about the functioning of organs and biological systems, enabling healthcare professionals to diagnose diseases, monitor patients, and improve treatment outcomes. The human body continuously generates various electrical, mechanical, acoustic, and chemical signals. Examples include electrocardiogram (ECG) signals from the heart, electroencephalogram (EEG) signals from the brain, electromyogram (EMG) signals from muscles, blood pressure signals, respiratory signals, and heart sounds. However, these signals are often weak, noisy, and difficult to interpret directly. Biomedical signal processing techniques help extract useful information from these signals while removing unwanted noise and interference. Modern healthca...

  Introduction The human brain is one of the most powerful biological systems known to science. Every thought, emotion, movement, and decision is generated through electrical activity within billions of neurons. Traditionally, communication between the brain and external devices required the use of muscles and nerves. However, advances in Biomedical Engineering have made it possible to establish direct communication between the brain and machines without relying on conventional muscular pathways. A Brain-Computer Interface (BCI) is a technology that enables direct communication between the human brain and external devices such as computers, wheelchairs, robotic arms, prosthetic limbs, and smart systems. BCI systems detect brain signals, process them using advanced algorithms, and convert them into commands that control external devices. Brain-Computer Interface technology has emerged as one of the most exciting interdisciplinary fields, combining Biomedical Engineering, Electronic...

  Introduction The human eye is not only responsible for vision but also generates measurable electrical signals during eye movements. These bioelectric signals can be detected and analyzed using a biomedical technique known as Electrooculography (EOG) . EOG is a non-invasive method used to record the electrical potential generated by eye movements and retinal activity. The human eye behaves like an electrical dipole, where the front portion (cornea) is positively charged relative to the back portion (retina). When the eyes move, the orientation of this dipole changes, producing voltage variations that can be detected using electrodes placed around the eyes. Electrooculography is widely used in ophthalmology, biomedical instrumentation, neuroscience, human-computer interaction, sleep studies, rehabilitation engineering, and assistive technologies. It plays an important role in diagnosing eye disorders, studying eye movement behavior, controlling assistive devices, and developing ad...