Analysis of complex physiological systems by information flow: A time scale-specific complexity assessment

Biomedizinische Technik

Volumn 51, Issue 2, 2006, Pages 41-48

  Hoyer, Dirk ^a   Frank, Birgit ^a   Pompe, Bernd ^b   Schmidt, Hendrik ^c   Werdan, Karl ^c   Müller Werdan, Ursula ^c   Baranowski, Rafal ^d   Zebrowski, Jan J ^e   Meissner, Winfried ^a   Kietzin, Ulf ^a,f   Adler, Daniela ^a,f   Adler, Steffen ^a,f   Blickhan, Reinhard ^a,f  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^b UNIVERSITY OF GREIFSWALD   (Germany)

^c MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

^d INSTITUTE OF CARDIOLOGY   (Poland)

^e WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^f Friendly Sensors AG   (Germany)

Author keywords

Autonomic information flow; Complexity; Gait information flow; Heart rate variability

Indexed keywords

CARDIOVASCULAR SYSTEM; COMPUTATIONAL COMPLEXITY; GAIT ANALYSIS; INFORMATION ANALYSIS; LINEAR SYSTEMS; PHYSIOLOGICAL MODELS;

AUTONOMIC INFORMATION FLOW; BIOSIGNAL ANALYSIS; GAIT INFORMATION FLOW (GIF); INFORMATION FLOW;

LARGE SCALE SYSTEMS;

AUTONOMIC NERVOUS SYSTEM FUNCTION; CARDIOVASCULAR SYSTEM; CLINICAL ASSESSMENT; GAIT; HEART FAILURE; HUMAN; LOW BACK PAIN; MEDICAL RESEARCH; MOTOR CONTROL; MULTIPLE ORGAN FAILURE; PROGNOSIS; REVIEW; WALKING;

ADULT; ALGORITHMS; AUTONOMIC NERVOUS SYSTEM; BACK PAIN; CARDIOVASCULAR DISEASES; COMPUTATIONAL BIOLOGY; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; GAIT; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; MULTIPLE ORGAN FAILURE; PATTERN RECOGNITION, AUTOMATED; TIME FACTORS;

EID: 33747311282     PISSN: 00135585     EISSN: None     Source Type: Journal    
DOI: 10.1515/BMT.2006.009     Document Type: Review

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