Sivanagaraja Tatinati, Kalyana C. Veluvolu

Real-time Filtering of Physiological Tremor for Microsurgery

Machine learning techniques based solutions for modelling and prediction of physiological tremor

• Broschiertes Buch

Produktbeschreibung

Precision, robustness, dexterity, and intelligence are the design indices for current generation surgical robotics. In microsurgeries, physiological tremor - an intrinsic hand motion with amplitude of 100µm - is a major impediment for surgeons' to perform delicate and fine motor tasks in sub-millimeter space. To augment the required precision and dexterity into normal microsurgical workflow by compensating the tremor in real-time, hand-held robotic instruments are developed. Generally, digital filters are employed to filter out the noise components and subsequently extract the tremor motion from the whole motion. As a result, a time-varying and unknown delay in the range of 20 to 200ms (depends on the variant of the filter) is introduced into the tremor compensation proceedings, which in turn, adversely affects the tremor compensation, which in turn, adversely affects the tremor compensation performance. Ideally, zero phase lag between the actual tremor and extracted tremor motion is essential for hand-held instruments. This motivates development of new and innovative signal processing solutions, which can enhance the performance of hand-held surgical Robotics.

Produktdetails

• Verlag: Scholar's Press
• Seitenzahl: 188
• Erscheinungstermin: 27. Mai 2020
• Englisch
• Abmessung: 220mm x 150mm x 12mm
• Gewicht: 298g
• ISBN-13: 9786138932093
• ISBN-10: 6138932099
• Artikelnr.: 59631111

Autorenporträt

Dr Tatinati received his Ph.D.  from Kyungpook National University, South Korea in 2016 and is currently a research fellow at NTU, Singapore. Prof Veluvolu received his Ph.D from Nanyang Technological University Singapore in 2006 and is a currently a Professor at School of Electronics Engg., Kyungpook National University, South Korea.