Title :
A Drill Signal Detection Technology for Handheld Medical Drilling Device
Author :
Mayer, M. ; Hsin-Hung Lin ; Ying-Hua Peng ; Pei Yuan Lee ; Min-Liang Wang
Abstract :
This research aims to create a medical drilling device where surgeons can receive the signal and data on the computer screen. We analyze the current signal extract from hall effect-based linear current sensor using a Raspberry Pi engineer board to detect the breakthrough signal.
Keywords :
Hall effect; Hall effect devices; biomedical electronics; bone; feature extraction; medical signal detection; medical signal processing; surgery; Hall effect-based linear current sensor; Raspberry Pi engineer board; breakthrough signal detection; computer screen; current signal extraction; drill signal detection technology; handheld medical drilling device; signal receiving; Bones; Conferences; Force; Integrated circuits; Pulse width modulation; Surgery; Torque; Automatic Control; Medical Drill; Signal Evaluation;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
DOI :
10.1109/IS3C.2014.251
