Low-frequency accuracy of RMS voltmeters

Zhelbakov, I. N.

doi:10.1007/bf02504038

Cited by 1 publication

(1 citation statement)

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“…Voltage is the simplest electrical property to be measured, consequently the possibility to use a root-mean-square (RMS) digital voltmeter [4,5] to determine the wearable sensor response represents a very desirable solution. Usually, the response to stimuli of an impedimetric sensor is detected as impedance (Z) variation, measured by a LCRmeter, or as variation of the intensity of current flowing in the device [6,7].…”

Section: Index Terms-breathmentioning

confidence: 99%

A New Method to Detect Zeolite Breath Sensor Response Based on Low-Power Square-Wave Sources

Carotenuto¹

2019

EJERS

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Low-power A.C. generators of square-wave or sinusoidal signals can be used in combination with impedimetric sensors to detect stimuli on the basis of the voltage drop taking place at the sensor electrodes. When a.c. generators with a power of only a few µ-Watts are used, this approach becomes extremely sensitive. A very low-power generator is the LCD back panel driving signal, which has a flipping polarity with a voltage of 3-5Vpp, depending on the generator model. This type of square-wave generator is contained in many low-cost handheld digital multimeters, and it is used as signal tracer to test, for example, low-frequency amplifiers. As an example, this method has been used to acquire a human breath rate pattern, by using a zeolite-based water sensor. If the generator I-V characteristics has been measured, the achieved breath pattern can be converted from a voltage drop vs. time graph to an impedance or current intensity vs. time graph.

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Section: Index Terms-breathmentioning

confidence: 99%

A New Method to Detect Zeolite Breath Sensor Response Based on Low-Power Square-Wave Sources

Carotenuto¹

2019

EJERS

View full text Add to dashboard Cite

show abstract

Low-frequency accuracy of RMS voltmeters

Cited by 1 publication

References 0 publications

A New Method to Detect Zeolite Breath Sensor Response Based on Low-Power Square-Wave Sources

A New Method to Detect Zeolite Breath Sensor Response Based on Low-Power Square-Wave Sources

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