Noninvasive Therapeutic Technologies: Stimulation of Physiological Processes
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The chapters delve into critical topics such as ultrasonic and vibrational blood flow activation, acoustic activation of human circulatory parameters, and acoustofluidic separation of bioparticles. Readers will discover how low-frequency ultrasound can safely dissociate erythrocytes from aggregates, reduce blood pressure and improve blood gas metabolism within minutes, and manage pulmonary hypertension without medication. The book also highlights the development of smart devices like the "Vilim ball" for tremor therapy and other patented technologies aimed at improving blood flow in diabetic patients and those with mobility impairments.
This essential volume is a must-read for researchers, clinicians, and practitioners in the fields of biomedical engineering, mechatronics, and healthcare technology. It offers invaluable insights into cutting-edge therapeutic strategies that are set to transform both clinical settings and home care environments.
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Prof. Dr.Hab. Vytautas Ostasevicius, academician of the Lithuanian and Royal Swedish Academies of Sciences, director of the Mechatronics Institute at Kaunas University of Technology, laureate of two National science prizes. 3 monographs published by Springer Nature: 1. Digital twins in manufacturing: virtual and physical twins for advanced manufacturing: Springer, 2022. 358 p. 2. Biomechanical microsystems: design, processing and applications: Springer, 2017. 282 p. 3. Microsystems dynamics: Springer, 2011. 222 p.
Prof. Dr. Vytautas Jurenas, head ot the Piezoelectric actuators for high-precision dynamic systems laboratory at Mechatronics institute, 135 articles, 42 patents, 1 monograph.
Dr. Mantas Venslauskas researcher of Bio(mechatronic) technologies for wellness, disease prevention, diagnostics and treatment laboratory at Mechatronics institute, mathematical modeling of blood flow, development of vibration therapy-based prototypes for blood flow activation.
Ass. Prof. Dr. Laura Kizauskiene of the Department of Computer science, development and applications of artificial intelligence algorithms for prediction of biomechanical and technological systems.
