Motion artifact is a major limitation in most practical implementations of wearable health monitoring devices. Especially in applications requiring continuous monitoring and high specificity, motion artifact can render a solution not feasible in real world use cases. We believe that the single most important technical challenge that will decide the success of wearable biomedical sensor systems is signal integrity. Principle possibilities to reduce artifact are explained, and some historical and modern examples are given, showing the relevance of this subject. However, still no proper models for artifact exist, nor is there a generalized approach to deal with this problem. This paper intends to call to attention the need for a common understanding in the community for a method of addressing this area objectively, and proposes next steps toward this goal.
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http://dx.doi.org/10.1109/IEMBS.2007.4352597 | DOI Listing |
Phys Med Biol
January 2025
Université de Lyon, CREATIS ; CNRS UMR5220 ; Inserm U1206 ; INSA-Lyon ; Université Lyon 1, CREATIS, Centre Léon Bérard, Lyon, 69373, FRANCE.
Rigid patient motion can cause artifacts in single photon emission computed tomography (SPECT) images, compromising the diagnosis and treatment planning. Exponential data consistency conditions (eDCCs) are mathematical equations describing the redundancy of exponential SPECT measurements. It has been recently shown that eDCCs can be used to detect patient motion in SPECT projections.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Imaging Laboratory (iLab), Varian Medical Systems, Siemens Healthcare, Baden, Switzerland.
. To develop an augmentation method that simulates cone-beam computed tomography (CBCT) related motion artifacts, which can be used to generate training-data to increase the performance of artificial intelligence models dedicated to auto-contouring tasks.The augmentation technique generates data that simulates artifacts typically present in CBCT imaging.
View Article and Find Full Text PDFPhotoacoustic microscopy has demonstrated outstanding performance in high-resolution functional imaging. However, in the process of photoacoustic imaging, the photoacoustic signals will be polluted by inevitable background noise. Besides, the image quality is compromised due to the biosafety limitation of the laser.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFIn image-guided radiotherapy (IGRT), four-dimensional cone-beam computed tomography (4D-CBCT) is critical for assessing tumor motion during a patients breathing cycle prior to beam delivery. However, generating 4D-CBCT images with sufficient quality requires significantly more projection images than a standard 3D-CBCT scan, leading to extended scanning times and increased imaging dose to the patient. To address these limitations, there is a strong demand for methods capable of reconstructing high-quality 4D-CBCT images from a 1-minute 3D-CBCT acquisition.
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