Multi-scale and Multi-level Feature Assessment Framework for Classification of Parkinson’s Disease State from Short-term Motor Tasks

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Parkinson’s disease   feature assessment   machine learning   wearable devices   short-term motor tasks  

Academic Background Parkinson’s Disease (PD) is the second most common chronic neurodegenerative disease, primarily affecting individuals aged 65 and above. With the global population aging, the prevalence of Parkinson’s disease is projected to increase from 7 million in 2015 to 13 million by 2040. Currently, the diagnosis of Parkinson’s disease ma...

Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling

Engineering, Information Science, Computer Science, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Spectral CT   Material Decomposition   Diffusion Model   Nonlinear Inverse Problem   Image Reconstruction  

Multi-Material Decomposition Research Based on Spectral Diffusion Posterior Sampling Background Introduction In the field of medical imaging, CT (Computed Tomography) technology is widely used in disease diagnosis and treatment planning. In recent years, spectral CT has become a research hotspot due to its ability to provide energy-dependent attenu...

Deep Reconstruction Framework with Self-Calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Chemical Exchange Saturation Transfer Imaging   Deep Learning   Image Reconstruction   Self-Calibration   Fast Imaging  

Application of the Deep Reconstruction Framework with Self-Calibration Mechanisms (DEISM) in Accelerated Chemical Exchange Saturation Transfer Imaging Academic Background Chemical Exchange Saturation Transfer (CEST) imaging is a highly sensitive molecular magnetic resonance imaging technique capable of detecting biomolecules associated with various...

Heart Rate and Body Temperature Relationship in Children Admitted to PICU - A Machine Learning Approach

Information Science, Artificial Intelligence, Medicine, Pediatrics, Life Sciences, Bioengineering,
heart rate   body temperature   pediatric intensive care unit   machine learning   quantile regression  

Machine Learning Study on the Relationship Between Heart Rate and Body Temperature in Pediatric Intensive Care Units Academic Background In the pediatric intensive care unit (PICU), heart rate (HR) and body temperature (BT) are crucial clinical indicators that reflect a patient’s physiological status. Although the relationship between HR and BT has...

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Information Science, Artificial Intelligence, Medicine, Neurosurgery, Medical Imaging, Life Sciences, Bioengineering,
neuroendoscopy   3D reconstruction   self-supervised learning   feature detection   real-time navigation  

Research on Real-Time 3D Reconstruction and Navigation in Neuroendoscopy Based on Self-Supervised Learning Academic Background Neuroendoscopic surgery, as a minimally invasive surgical technique, is widely used in the treatment of deep brain lesions, such as endoscopic third ventriculostomy (ETV), choroid plexus cauterization, and cyst fenestration...

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

Information Science, Computer Science, Artificial Intelligence,
Speech Emotion Recognition   Wavelet Transform   Deep Learning   Convolutional Neural Network   Bidirectional Gated Recurrent Unit  

Application of Multiresolution Signal Wavelet Network in Speech Emotion Recognition: SigWavNet Academic Background Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction and psychological assessment. It identifies the speaker’s emotional state by analyzing speech signals, with wide applications in emergency call centers...