English
Related papers

Related papers: Classification of syncope through data analytics

200 papers

The synchronized activity of neuronal populations can lead to pathological over-synchronization in conditions such as epilepsy and Parkinson disease. Such states can be desynchronized by brief electrical pulses. But when the underlying…

Neurons and Cognition · Quantitative Biology 2026-03-16 Ramón Guevara , Marco Zenari , Giorgio Nicoletti , Elisa Marini , Samir Suweis , Sandro Azaele , Marco Formentin

Clinical practice in psychiatry is burdened with the increased demand for healthcare services and the scarce resources available. New paradigms of health data powered with machine learning techniques could open the possibility to improve…

Artificial Intelligence · Computer Science 2023-06-08 Juan Sebastian Canas , Francisco Gomez , Omar Costilla-Reyes

Background and objectives: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease.…

Machine Learning · Computer Science 2020-02-14 C. D. Rios-Urrego , J. C. Vásquez-Correa , J. F. Vargas-Bonilla , E. Nöth , F. Lopera , J. R. Orozco-Arroyave

The proliferation of early diagnostic technologies, including self-monitoring systems and wearables, coupled with the application of these technologies on large segments of healthy populations may significantly aggravate the problem of…

Machine Learning · Computer Science 2021-07-23 Anna Fedyukova , Douglas Pires , Daniel Capurro

We consider a heterogeneous, globally coupled population of excitatory quadratic integrate-and-fire neurons with excitability adaptation due to a metabolic feedback associated with ketogenic diet, a form of therapy for epilepsy. Bifurcation…

Adaptation and Self-Organizing Systems · Physics 2024-05-29 Sebastian Eydam , Igor Franović , Louis Kang

Chronic obstructive pulmonary disease (COPD) is a lung disease that is not fully reversible and one of the leading causes of morbidity and mortality in the world. Early detection and diagnosis of COPD can increase the survival rate and…

Image and Video Processing · Electrical Eng. & Systems 2020-01-07 Jalil Ahmed , Sulaiman Vesal , Felix Durlak , Rainer Kaergel , Nishant Ravikumar , Martine Remy-Jardin , Andreas Maier

A probabilistic expert system emulates the decision-making ability of a human expert through a directional graphical model. The first step in building such systems is to understand data generation mechanism. To this end, one may try to…

Methodology · Statistics 2021-09-29 Vahid Partovi Nia , Xinlin Li , Masoud Asgharian , Shoubo Hu , Zhitang Chen , Yanhui Geng

Seizure type identification is essential for the treatment and management of epileptic patients. However, it is a difficult process known to be time consuming and labor intensive. Automated diagnosis systems, with the advancement of machine…

Signal Processing · Electrical Eng. & Systems 2023-03-09 Hezam Albaqami , Ghulam Mubashar Hassan , Amitava Datta

This paper describes a novel approach to medical diagnosis based on the SP theory of computing and cognition. The main attractions of this approach are: a format for representing diseases that is simple and intuitive; an ability to cope…

Artificial Intelligence · Computer Science 2014-09-30 J. Gerard Wolff

Poor sitting habits have been identified as a risk factor to musculoskeletal disorders and lower back pain especially on the elderly, disabled people, and office workers. In the current computerized world, even while involved in leisure or…

Machine Learning · Computer Science 2022-01-11 Tariku Adane Gelaw , Misgina Tsighe Hagos

Heart disease is the major cause of non-communicable and silent death worldwide. Heart diseases or cardiovascular diseases are classified into four types: coronary heart disease, heart failure, congenital heart disease, and cardiomyopathy.…

Machine Learning · Computer Science 2023-06-22 Achyut Tiwari , Aryan Chugh , Aman Sharma

Classification of heterogeneous diseases is challenging due to their complexity, variability of symptoms and imaging findings. Chronic Obstructive Pulmonary Disease (COPD) is a prime example, being underdiagnosed despite being the third…

Multiple outcomes, both continuous and discrete, are routinely gathered on subjects in longitudinal studies and during routine clinical follow-up in general. To motivate our work, we consider a longitudinal study on patients with primary…

Applications · Statistics 2013-04-17 Arnošt Komárek , Lenka Komárková

Hyperkinetic movement disorders (HMDs) such as dystonia, tremor, chorea, myoclonus, and tics are disabling motor manifestations across childhood and adulthood. Their fluctuating, intermittent, and frequently co-occurring expressions hinder…

As our population ages, neurological impairments and degeneration of the musculoskeletal system yield gait abnormalities, which can significantly reduce quality of life. Gait rehabilitative therapy has been widely adopted to help patients…

Computer Vision and Pattern Recognition · Computer Science 2017-02-02 Ioannis Papavasileiou , Wenlong Zhang , Xin Wang , Jinbo Bi , Li Zhang , Song Han

We formulate a novel technique for the detection of functional clusters in discrete event data. The advantage of this algorithm is that no prior knowledge of the number of functional groups is needed, as our procedure progressively combines…

Neurons and Cognition · Quantitative Biology 2015-05-13 S. Feldt , J. Waddell , V. L. Hetrick , J. D. Berke , M. Zochowski

Sickle Cell Disease (SCD) is a hereditary disorder of red blood cells in humans. Complications such as pain, stroke, and organ failure occur in SCD as malformed, sickled red blood cells passing through small blood vessels get trapped.…

Coronary heart disease, which is a form of cardiovascular disease (CVD), is the leading cause of death worldwide. The odds of survival are good if it is found or diagnosed early. The current report discusses a comparative approach to the…

Computer Vision and Pattern Recognition · Computer Science 2021-12-03 Kelvin Kwakye , Emmanuel Dadzie

Early detection of dementia is crucial to devise effective interventions. Comprehensive cognitive tests, while being the most accurate means of diagnosis, are long and tedious, thus limiting their applicability to a large population,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Anusha A. S. , Uma Ranjan , Medha Sharma , Siddharth Dutt

Objective: Stroke is one of the leading causes of disabilities. One promising approach is to extend the rehabilitation with self-initiated robot-assisted movement therapy. To enable this, it is required to detect the patient's intention to…

Machine Learning · Computer Science 2026-01-09 Niklas Kueper , Kartik Chari , Elsa Andrea Kirchner