HARNESSING FRACTAL THEORY FOR BIOMEDICAL SIGNAL ANALYSIS: A COMPREHENSIVE REVIEW

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022383" target="_blank" >RIV/62690094:18450/25:50022383 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.worldscientific.com/doi/10.1142/S0218348X25300016" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X25300016</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0218348X25300016" target="_blank" >10.1142/S0218348X25300016</a>

Jazyk výsledku

angličtina

Název v původním jazyce

HARNESSING FRACTAL THEORY FOR BIOMEDICAL SIGNAL ANALYSIS: A COMPREHENSIVE REVIEW

Popis výsledku v původním jazyce

Fractal theory has become an essential tool for analyzing complex biomedical signals, offering novel methods to interpret physiological data that traditional approaches struggle to decipher. This review explores how fractal analysis has transformed clinical diagnostics, disease monitoring, and personalized treatment planning across various biomedical domains, including Electrocardiography (ECG), Electroencephalography (EEG), Electromyography (EMG), Phonocardiogram (PCG), Magnetoencephalography (MEG), and Galvanic Skin Response (GSR). Key advancements, such as early detection of cardiac anomalies, differentiation of neurological disorders, and improved neuromuscular rehabilitation, underscore the clinical relevance of fractal-based methods. By identifying subtle patterns in physiological signals, fractal analysis enhances the precision of diagnosis, and supports real-time monitoring in clinical practice. The review also examines the challenges of implementing fractal techniques in healthcare, including data noise, nonstationarity, and algorithm optimization; Future innovations, particularly the integration of machine learning and real-time monitoring systems, hold significant potential for advancing biomedical research and improving patient outcomes. This work highlights fractal analysis as a vital asset in modern medicine, bridging the gap between complex data interpretation and effective clinical application.

Název v anglickém jazyce

HARNESSING FRACTAL THEORY FOR BIOMEDICAL SIGNAL ANALYSIS: A COMPREHENSIVE REVIEW

Popis výsledku anglicky

Fractal theory has become an essential tool for analyzing complex biomedical signals, offering novel methods to interpret physiological data that traditional approaches struggle to decipher. This review explores how fractal analysis has transformed clinical diagnostics, disease monitoring, and personalized treatment planning across various biomedical domains, including Electrocardiography (ECG), Electroencephalography (EEG), Electromyography (EMG), Phonocardiogram (PCG), Magnetoencephalography (MEG), and Galvanic Skin Response (GSR). Key advancements, such as early detection of cardiac anomalies, differentiation of neurological disorders, and improved neuromuscular rehabilitation, underscore the clinical relevance of fractal-based methods. By identifying subtle patterns in physiological signals, fractal analysis enhances the precision of diagnosis, and supports real-time monitoring in clinical practice. The review also examines the challenges of implementing fractal techniques in healthcare, including data noise, nonstationarity, and algorithm optimization; Future innovations, particularly the integration of machine learning and real-time monitoring systems, hold significant potential for advancing biomedical research and improving patient outcomes. This work highlights fractal analysis as a vital asset in modern medicine, bridging the gap between complex data interpretation and effective clinical application.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Fractals

ISSN

0218-348X

e-ISSN

1793-6543

Svazek periodika

33

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

SG - Singapurská republika

Počet stran výsledku

11

Strana od-do

"Article number: 2530001"

Kód UT WoS článku

001477404600001

EID výsledku v databázi Scopus

2-s2.0-105003891184