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Literature DB >> 23400186

Simplifying touch data from tri-axial sensors using a new data visualization tool.

Lawrence H Salud¹, Calvin Kwan, Carla M Pugh.

Abstract

Quantification and evaluation of palpation is a growing field of research in medicine and engineering. A newly developed tri-axial touch sensor has been designed to capture a multi-dimensional profile of touch-loaded forces. We have developed a data visualization tool as a first step in simplifying interpretation of touch for assessing hands-on clinical performance.

Entities: Chemical Disease Species

Mesh：

Year: 2013 PMID： 23400186 PMCID： PMC3693446

Source DB: PubMed Journal: Stud Health Technol Inform ISSN： 0926-9630

12 in total

1. Use of a mechanical simulator to assess pelvic examination skills.

Authors: C M Pugh; W L Heinrichs; P Dev; S Srivastava; T M Krummel
Journal: JAMA Date: 2001-09-05 Impact factor: 56.272

2. Qualitative and quantitative analysis of pressure sensor data acquired by the E-Pelvis simulator during simulated pelvic examinations.

Authors: Carla M Pugh; Jacob Rosen
Journal: Stud Health Technol Inform Date: 2002

3. A pervasive visual-haptic framework for virtual delivery training.

Authors: Andrea F Abate; Giovanni Acampora; Vincenzo Loia; Stefano Ricciardi; Athanasios V Vasilakos
Journal: IEEE Trans Inf Technol Biomed Date: 2010-03

4. Quantifying palpation techniques in relation to performance in a clinical prostate exam.

Authors: Ninghuan Wang; Gregory J Gerling; Reba Moyer Childress; Marcus L Martin
Journal: IEEE Trans Inf Technol Biomed Date: 2010-02-17

5. Hand movements: a window into haptic object recognition.

Authors: S J Lederman; R L Klatzky
Journal: Cogn Psychol Date: 1987-07 Impact factor: 3.468

6. Using a prostate exam simulator to decipher palpation techniques that facilitate the detection of abnormalities near clinical limits.

Authors: Ninghuan Wang; Gregory J Gerling; Tracey L Krupski; Reba Moyer Childress; Marcus L Martin
Journal: Simul Healthc Date: 2010-06 Impact factor: 1.929

Simplifying touch data from tri-axial sensors using a new data visualization tool.

1. Use of a mechanical simulator to assess pelvic examination skills.

2. Qualitative and quantitative analysis of pressure sensor data acquired by the E-Pelvis simulator during simulated pelvic examinations.

3. A pervasive visual-haptic framework for virtual delivery training.

4. Quantifying palpation techniques in relation to performance in a clinical prostate exam.

5. Hand movements: a window into haptic object recognition.

6. Using a prostate exam simulator to decipher palpation techniques that facilitate the detection of abnormalities near clinical limits.

7. Moving past normal force: capturing and classifying shear motion using 3D sensors.

8. Characterizing the range of simulated prostate abnormalities palpable by digital rectal examination.

9. Architecture and protocol of a semantic system designed for video tagging with sensor data in mobile devices.

10. Social tagging in the life sciences: characterizing a new metadata resource for bioinformatics.

1. Evaluation of Hands-On Clinical Exam Performance Using Marker-less Video Tracking.

2. Evaluation of Simulated Clinical Breast Exam Motion Patterns Using Marker-Less Video Tracking.