Assessment of risks of EMI for personal medical electronic devices (PMEDs) from emissions of millimeter-wave security screening systems

Witters, Donald; Bassen, H.; Guag, Joshua; Addissie, Bisrat; LaSorte, Nickolas J.; Rafai, Hazem

doi:10.1117/12.2021543

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2014

2023

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Cited by 2 publications

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“…Data from a security system simulator designed at the FDA [7] [8] for EMC tests on therapeutic devices were used to test the algorithm. Table 2 lists a summary of devices that were tested in the presence of electromagnetic radiation at various modulations and carrier frequencies.…”

Section: Devices Testedmentioning

confidence: 99%

A Method for Automating Signal Analysis from Therapeutic Devices

Eslami¹,

Guag²

2014

ICA

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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.

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Section: Devices Testedmentioning

confidence: 99%