Multiple Sensor Signal and Image Processing for Clinical Application
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 516
Special Issue Editors
Interests: remote sensing; imaging for object detection; deep neuronal networks; machine learning; surveillance systems; non-invasive diagnostic and therapeutic tools; brain connectivity; electromagnetic source imaging
Special Issues, Collections and Topics in MDPI journals
Interests: digital image and signal processing; biomedical applications; remote sensing applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensors for the acquisition of body signals/images (bio-sensors) play a vital role in clinical applications. Single bio-sensors or, recently, multiple bio-sensor acquisitions have revolutionized medical diagnosis, monitoring, and treatment, leading to improved patient outcomes and enhanced healthcare delivery. Digital signals and image processing are a fundamental step towards the accurate clinical application of bio-sensors.
Sensors play a crucial role in collecting various physiological signals and measurements, providing clinicians with valuable information about a patient's health status. From wearable devices to implantable sensors, these technologies enable continuous and remote monitoring of vital signs, bioelectrical activity, biochemical markers, and more. This wealth of data requires advanced signal-processing techniques to extract meaningful information and uncover hidden patterns or abnormalities.
Signal processing techniques enable effective analysis and interpretation of complex medical signals, especially when recorded from multiple sites of the body. Through efficient denoising, filtering, and extracting of relevant features from the signals, clinicians can make accurate, non-invasive diagnoses, monitor treatment efficacy, and detect early warning signs of diseases.
Moreover, image processing techniques have revolutionized medical imaging. From computed tomography (CT) and magnetic resonance imaging (MRI) to ultrasound and optical imaging, these methods enable non-invasive and high-resolution imaging for better disease detection, treatment planning, and intervention guidance.
This Special Issue aims to explore the latest advancements and applications of bio-sensors, signal processing, and image processing in clinical environments. We invite researchers and practitioners to submit their original contributions, including research articles and reviews, focusing on innovative methodologies, algorithms, and systems that enhance clinical decision-making, patient care, and overall healthcare outcomes.
If you want to learn more information or need any advice, you can contact the Special Issue Editor Anika Deng via <anika.deng@mdpi.com> directly.
Dr. Marios Antonakakis
Prof. Dr. Mihalis Zervakis
Guest Editors
Manuscript Submission Information
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