Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

1.6K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Alterations in T lymphocyte subsets and mitochondrial-related parameters in patients with chronic kidney disease.

Frontiers in medicine·2026
Same author

Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Self-compassion and self-concept clarity mediated by resilience: variable-centered and person-centered approaches.

Frontiers in psychology·2026
Same author

Sensitive detection of anti-PLA2R antibodies for idiopathic membranous nephropathy diagnosis via carbon paper@black phosphorus@silver nanocomposites-based sandwich immunoassay.

Talanta·2026
Same author

Counterfeit <i>Citri Reticulatae Pericarpium</i> Identification: Multi-Class Detection Using Vis/NIR Spectroscopy and Residual Neural Networks.

Food science & nutrition·2026

Related Experiment Video

Updated: May 3, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.4K

Tremor Estimation and Removal in Robot-Assisted Surgery Using Improved Enhanced Band-Limited Multiple Fourier Linear

Wenjie Wang1,2, Boqiang Jia1,2, Jianwei Ma1,2

  • 1School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|August 2, 2024
PubMed
Summary

This study introduces an improved Enhanced Band-Limited Multiple Linear Fourier Combiner (E-BMFLC) algorithm to filter surgeon hand tremors in robotic surgery. The new method enhances tremor compensation accuracy and reduces spatial position errors, improving surgical precision.

Keywords:
master‐slave controlphysiological tremor filteringsurgical robot

More Related Videos

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.4K
MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor
05:54

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor

Published on: December 13, 2017

14.0K

Related Experiment Videos

Last Updated: May 3, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.4K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.4K
MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor
05:54

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor

Published on: December 13, 2017

14.0K

Area of Science:

  • Robotics
  • Surgical Technology
  • Biomedical Engineering

Background:

  • Surgeon hand tremors during robot-assisted minimally invasive surgery can lead to undesirable vibrations in surgical instruments.
  • These vibrations can compromise surgical precision and patient safety.

Purpose of the Study:

  • To propose an improved Enhanced Band-Limited Multiple Linear Fourier Combiner (E-BMFLC) algorithm for filtering physiological tremor signals.
  • To enhance the accuracy and efficiency of tremor compensation in robotic surgery.

Main Methods:

  • The improved E-BMFLC algorithm adapts its learning rate based on the input signal's amplitude.
  • It utilizes a dense division of combiner bands, particularly for higher amplitude tremor signals.
  • Physiological tremor signals from a surgeon's hand are filtered using this adaptive approach.

Main Results:

  • The improved E-BMFLC algorithm achieved a compensation accuracy improvement of 4.5%-8.9%.
  • A spatial position error of less than 1 mm was maintained.
  • The filtering method demonstrated a high success rate and reduced experimental time compared to other methods.

Conclusions:

  • The improved E-BMFLC filtering method is highly effective for reducing surgeon hand tremors in robotic surgery.
  • This algorithm offers superior performance in terms of accuracy, success rate, and experimental efficiency.
  • The findings suggest a significant advancement in tremor filtering for minimally invasive robotic procedures.