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The applications of posturography in selected neurological disorders
1
Department of Rehabilitation, Faculty of Health Sciences in Katowice, Medical University of Silesia, Katowice, Poland / Katedra i Klinika Rehabilitacji, Wydział Nauk o Zdrowiu w Katowicach, Śląski Uniwersytet Medyczny w Katowicach
2
Department of Therapeutic Rehabilitation, Leszek Giec Upper-Silesian Medical Centre of the Medical University of Silesia in Katowice, Poland / Oddział Rehabilitacji Leczniczej, Górnośląskie Centrum Medyczne im. prof. Leszka Gieca Śląskiego Uniwersytetu Medycznego w Katowicach
Corresponding author
Barbara Lewicka
Katedra i Klinika Rehabilitacji, Wydział Nauk o Zdrowiu w Katowicach, Śląski Uniwersytet Medyczny w Katowicach, ul. Ziołowa 45-47, 40-635 Katowice
Katedra i Klinika Rehabilitacji, Wydział Nauk o Zdrowiu w Katowicach, Śląski Uniwersytet Medyczny w Katowicach, ul. Ziołowa 45-47, 40-635 Katowice
Ann. Acad. Med. Siles. 2023;77:158-165
KEYWORDS
TOPICS
ABSTRACT
Posturography is one of the objective methods of evaluating human balance. Human balance is the ability to maintain a vertical center of mass (COM) in the support area (base of support – BOS). COM in a homogeneous gravitational field coincides with the center of gravity (COG). The postural control system (PCS) maintains the COG projection in the support area and counteracts the external forces (gravity and inertia force) that destabilize the posture of the human body. Minimizing body deflection is controlled by the central nervous system (CNS). External stimuli are received through visual, atrial, proprioceptive and exteroceptive systems. The information is transmitted to the CNS, which, means of the feedback system, controls the motion system to minimize the risk of falls. The aim of this work is to present the types of posturography: static, dynamic, and follow-up posturography, their use in the objective diagnosis of imbalances, as a tool for rehabilitation and for monitoring the progress of treatment in Parkinson’s disease and patients after stroke.
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CITATIONS (1):
1.
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women
Beata Sokołowska, Wiktor Świderski, Edyta Smolis-Bąk, Ewa Sokołowska, Teresa Sadura-Sieklucka
Frontiers in Computational Neuroscience
Beata Sokołowska, Wiktor Świderski, Edyta Smolis-Bąk, Ewa Sokołowska, Teresa Sadura-Sieklucka
Frontiers in Computational Neuroscience
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