TITLE:
A Method for Automating Signal Analysis from Therapeutic Devices
AUTHORS:
Mohammed A. Eslami, Joshua W. Guag
KEYWORDS:
Medical Devices, Electromagnetic Compatibility, Signal Analysis
JOURNAL NAME:
Intelligent Control and Automation,
Vol.5 No.2,
May
27,
2014
ABSTRACT: Many methods exist
for cardiac and neural signal feature extraction and identification, but a published
method for validation of therapeutic medical devices by computer analysis of
their signals can be seldom found. This paper presents a simple, fast algorithm
to extract the electrical stimulation including pulse width, exponential decay,
and time between pulses from neurostimulators, pacemakers, implantable cardioverter
defibrillators (ICDs), and transcutaneous electric nerve stimulators (TENS). An
experimental validation demonstrated the automated analysis provide means to
expedite device validation testing. In the future studies, the algorithm should
be improved for its robustness and checked for analysis of signals with lower
SNR. A figure of merit is provided to expedite electromagnetic compatibility
(EMC) tests on the devices to ensure proper operation in the presence of
electromagnetic emitters.