Multistep prediction of physiological tremor based on machine learning for robotics assisted microsurgery

S Tatinati, KC Veluvolu, WT Ang - IEEE transactions on …, 2014 - ieeexplore.ieee.org
For effective tremor compensation in robotics assisted hand-held device, accurate filtering of
tremulous motion is necessary. The time-varying unknown phase delay that arises due to …

Drift-free position estimation of periodic or quasi-periodic motion using inertial sensors

WT Latt, KC Veluvolu, WT Ang - Sensors, 2011 - mdpi.com
Position sensing with inertial sensors such as accelerometers and gyroscopes usually
requires other aided sensors or prior knowledge of motion characteristics to remove position …

A quaternion weighted Fourier linear combiner for modeling physiological tremor

K Adhikari, S Tatinati, WT Ang… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Goal: This paper offers a new approach to model physiological tremor aiming at attenuating
undesired vibrations of the tip of microsurgical instruments. Method: Several tremor …

Multistep prediction of physiological tremor for surgical robotics applications

KC Veluvolu, S Tatinati, SM Hong… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Accurate canceling of physiological tremor is extremely important in robotics-assisted
surgical instruments/procedures. The performance of robotics-based hand-held surgical …

Physiological tremor estimation with autoregressive (AR) model and Kalman filter for robotics applications

S Tatinati, KC Veluvolu, SM Hong, WT Latt… - IEEE Sensors …, 2013 - ieeexplore.ieee.org
This paper focuses on developing a simple and efficient tremor estimation algorithm suitable
for real-time applications. Autoregressive model in combination with Kalman filter is …

Multidimensional modeling of physiological tremor for active compensation in handheld surgical robotics

S Tatinati, K Nazarpour, WT Ang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Precision, robustness, dexterity, and intelligence are the design indices for current
generation surgical robotics. To augment the required precision and dexterity into normal …

Real time estimation and suppression of hand tremor for surgical robotic applications

A Kumar, S Kumar, A Kaushik, A Kumar… - Microsystem …, 2022 - Springer
In this work, an algorithm was developed to record and suppress the physiological tremor
present in the hands of surgeon doing robotic surgical procedure due to fatigue or …

Physiological tremor filtering without phase distortion for robotic microsurgery

K Adhikari, S Tatinati, KC Veluvolu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
All existing physiological tremor filtering algorithms, developed for robotic microsurgery, use
nonlinear phase prefilters to isolate the tremor signal. Such filters cause phase distortion to …

Multi-step prediction of physiological tremor with random quaternion neurons for surgical robotics applications

Y Wang, S Tatinati, K Adhikari, L Huang… - IEEE …, 2018 - ieeexplore.ieee.org
Digital filters are employed in hand-held robotic instruments to separate the concomitant
involuntary physiological tremor motion from the desired motion of micro-surgeons. Inherent …

Online LS-SVM based multi-step prediction of physiological tremor for surgical robotics

S Tatinati, Y Wang, G Shafiq… - 2013 35th Annual …, 2013 - ieeexplore.ieee.org
Performance of robotics based hand-held surgical devices in real-time is mainly dependent
on accurate filtering of physiological tremor. The presence of phase delay in sensors …