Surface EMG-based Surgical Instrument Classification for Dynamic Activity Recognition in Surgical Workflows

PROPOSAL FOR SURGICAL CLASSIFICATION OF CHRONIC SUPPURATIVE OTITIS MEDIA

The authors presented a proposal for surgical classification of chronic suppurative otitis media which may be used' for evaluating the surgical outcome of the disease.

SIDF: A Novel Framework for Accurate Surgical Instrument Detection in Laparoscopic Video Frames

Background and Objectives: Identification of surgical instruments in laparoscopic video images has several biomedical applications. While several methods have been proposed for accurate detection of surgical instruments, the accuracy of these methods is still challenged high complexity of the laparoscopic video images. This paper introduces a Surgical Instrument Detection Framework (SIDF) for a...

A New Classification Approach for Robotic Surgical Tasks Recognition

Automatic recognition and classification of tasks in robotic surgery is an important stepping stone toward automated surgery and surgical training. Recently, technical breakthroughs in gathering data make data-driven model development possible. In this paper, we propose a framework for high-level robotic surgery task recognition using motion data. We present a novel classification technique tha...

Semi-Supervised Learning for Surface EMG-based Gesture Recognition

Conventionally, gesture recognition based on nonintrusive muscle-computer interfaces required a strongly-supervised learning algorithm and a large amount of labeled training signals of surface electromyography (sEMG). In this work, we show that temporal relationship of sEMG signals and data glove provides implicit supervisory signal for learning the gesture recognition model. To demonstrate thi...

Recent Advances in EMG Pattern Recognition for Prosthetic Control