Bispectral Analysis of Parkinsonian Rest Tremor: New Characterization and Classification Insights Pre-/Post-DBS and Medication Treatment
Rest tremor is a most common symptom of Parkinson's Disease (PD), with diagnosis and
severity estimation often being hindered by subjectivity and limitations of existing methods …
severity estimation often being hindered by subjectivity and limitations of existing methods …
Post-DBS and Medication Treatment
Rest tremor is a most common symptom of Parkinson's Disease (PD), with diagnosis and
severity estimation often being hindered by subjectivity and limitations of existing methods …
severity estimation often being hindered by subjectivity and limitations of existing methods …
Developing Smart Prosthetics: A Fusion of Robotics and Biomedicine
Z Mahmood, L Forsberg - Eastern European Journal for …, 2024 - snmzpublisher.com
The development of smart prosthetics, combining the fields of robotics and biomedicine, has
revolutionized the quality of life for individuals with limb loss or impaired mobility. These …
revolutionized the quality of life for individuals with limb loss or impaired mobility. These …
Emerging Techniques in Biomedical Imaging for Early Diagnosis of Chronic Diseases
R Gupta, J Ekström - Baltic Multidisciplinary journal, 2024 - balticjournals.com
This paper reviews key developments in biomedical imaging, focusing on technologies such
as magnetic resonance imaging (MRI), positron emission tomography (PET), optical …
as magnetic resonance imaging (MRI), positron emission tomography (PET), optical …
Using DSPM to Identify Anomalous Data Access Patterns: A Novel Approach to Insider Threat Detection
MC Perez, JD Vargas - Eastern-European Journal of …, 2024 - snmzpublisher.com
Insider threats pose a significant risk to organizations, as they often involve individuals with
authorized access who exploit their privileges for malicious purposes. This paper explores …
authorized access who exploit their privileges for malicious purposes. This paper explores …
Scaling Deep Learning Models for High-Performance Computing Environments
R Lopes, T Dlamini - Baltic Multidisciplinary journal, 2024 - balticjournals.com
This paper examines the challenges and strategies involved in scaling deep learning
models for HPC, focusing on parallelization techniques, hardware acceleration, memory …
models for HPC, focusing on parallelization techniques, hardware acceleration, memory …
Biosensors for Early Disease Detection: A Game-Changer in Diagnostics
A Rahman, A Dubois - Eastern European Journal for …, 2024 - snmzpublisher.com
Biosensors have emerged as a pivotal innovation in the field of medical diagnostics, offering
rapid, precise, and cost-effective solutions for early disease detection. By converting …
rapid, precise, and cost-effective solutions for early disease detection. By converting …
Exploring Explainable Deep Learning Models for Healthcare Applications
A Ibrahim, D Müller - Baltic Multidisciplinary journal, 2024 - balticjournals.com
In recent years, deep learning models have revolutionized healthcare by offering significant
advancements in diagnostic accuracy, predictive analytics, and personalized treatment …
advancements in diagnostic accuracy, predictive analytics, and personalized treatment …
[引用][C] Bispectral Image Analysis Techniques for Enhanced Emotion Detection in Conversations
A Hussain, T Graepel