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In the early stages of atrial fibrillation (AF), most cases are paroxysmal (pAF), making identification only possible with continuous and prolonged monitoring. With the advent of wearables, smartwatches equipped with photoplethysmographic (PPG) sensors are an ideal approach for continuous monitoring of pAF. There have been numerous studies demonstrating successful capture of pAF events, especially using deep learning.
View Article and Find Full Text PDFMalignant cerebral edema occurs when brain swelling displaces and compresses vital midline structures within the first week of a large middle cerebral artery stroke. Early interventions such as hyperosmolar therapy or surgical decompression may reverse secondary injury but must be administered judiciously. To optimize treatment and reduce secondary damage, clinicians need strategies to frequently and quantitatively assess the trajectory of edema using updated, relevant information.
View Article and Find Full Text PDFCIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention.
Comput Med Imaging Graph
December 2024
Department of Medicine, University of Florida, Gainesville, FL 32611, USA. Electronic address:
Article Synopsis
- Advances in medical imaging and endovascular techniques enable less invasive treatments for aortic diseases, but accurate 3D segmentation of the aorta is vital for effective surgical planning.
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- CIS-UNet outperformed existing models in segmentation accuracy, achieving a mean Dice coefficient of 0.732 in evaluations using CT scans from 59 patients, and the researchers will share their dataset and code publicly.
Multiclass classification of Alzheimer's disease prodromal stages using sequential feature embeddings and regularized multikernel support vector machine.
Neuroimage
December 2024
Department of Industrial Engineering, Yonsei University, Seoul 03722, Republic of Korea. Electronic address:
The detection of patients in the cognitive normal (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD) stages of neurodegeneration is crucial for early treatment interventions. However, the heterogeneity of MCI data samples poses a challenge for CN vs. MCI vs.
View Article and Find Full Text PDFResearch on Abnormal State Detection of CZ Silicon Single Crystal Based on Multimodal Fusion.
Sensors (Basel)
October 2024
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.
The Czochralski method is the primary technique for single-crystal silicon production. However, anomalous states such as crystal loss, twisting, swinging, and squareness frequently occur during crystal growth, adversely affecting product quality and production efficiency. To address this challenge, we propose an enhanced multimodal fusion classification model for detecting and categorizing these four anomalous states.
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