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Diagnostics (Basel)
November 2024
Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig 23119, Turkey.
Background: The primary objective of this research is to propose a new, simple, and effective feature extraction function and to investigate its classification ability using electrocardiogram (ECG) signals.
Methods: In this research, we present a new and simple feature extraction function named the minimum and maximum pattern (MinMaxPat). In the proposed MinMaxPat, the signal is divided into overlapping blocks with a length of 16, and the indexes of the minimum and maximum values are identified.
Front Pain Res (Lausanne)
November 2024
Multidisciplinary Pain Center, Aichi Medical University, Nagakute, Japan.
Introduction: The new ICD-11 code for chronic pain indicates a direction to divide chronic pain into two categories: chronic secondary pain, which has a clear underlying disease, and chronic primary pain, which is associated with significant emotional distress or functional disability and cannot be explained by another chronic condition. Until now, epidemiological studies have been hampered by the lack of a clear classification, but we believe that this new code system will provide a new perspective on the diagnosis and treatment of chronic pain, and we have begun work on this code system.
Methods: We studied 2,360 patients at Aichi Medical University, the largest pain center in Japan, and asked them to answer questionnaires on pain severity (NRS), pain-related functional impairment (PDAS, Locomo25), quality of life (EQ-5D), and psychological state and pain cognition (HADS, PCS, PSEQ, AIS) while their attending physicians were giving diagnoses according to ICD-11 and the results of the study were used to determine the coding of pain severity.
J Pain
November 2024
Faculty of Psychology, Education and Sports Sciences, Universitat Ramon Llull, Blanquerna, Barcelona, Spain; EUSES University School of Health and Sports, University of Girona, Salt, Spain.
J Rehabil Med
November 2024
Karolinska Institutet, Department of Clinical Sciences, Danderyd Hospital, Stockholm, Sweden; Danderyd University Hospital, Department of Medical Specialities, Stockholm, Sweden.
Objective: This study explores the effectiveness of using the International Classification of Functioning, Disability and Health (ICF) as a coding framework to document work-related disability information in sick leave certificates, focusing on depression and fibromyalgia in Sweden.
Design: A qualitative ICF linking study was conducted, mapping information from 200 certificates per diagnosis to ICF.
Methods: ICF linking rules were followed strictly.
Urogynecology (Phila)
October 2024
Wake Forest Institute for Regenerative Medicine, Winston-Salem, NC.
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