2015 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS) 2015
DOI: 10.1109/biowireless.2015.7152116
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Body-worn fully-passive wireless analog sensors for biopotential measurement through load modulation

Abstract: Fully-passive wireless and disposable bodysensors are promising for unobtrusive monitoring of physiological signals at natural settings. We present a new type of wireless analog passive sensor (WAPS) based on resistive damping, which can be used for biopotential sensing. The resistive WAPS operates by modulating the amplitudes of the incident RF signal, and composes of a loop antenna, a tuning capacitor, and a MOSFET (an additional biasing resistance is used in one variation). The scanner transmits carrier RF … Show more

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Cited by 6 publications
(15 citation statements)
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“…However, for body-worn sensors, inductive loading is a more appropriate solution due to non-ionizing radiation and proximity of the portable scanner to body-worn sensors [36]. For the simple WRAP sensor system [37,38], the effective impedance from the scanner side correlates to load resistance (RL) of a RLC parallel circuit, and is given by:…”
Section: B Wrap Sensor Operation Theorymentioning
confidence: 99%
See 4 more Smart Citations
“…However, for body-worn sensors, inductive loading is a more appropriate solution due to non-ionizing radiation and proximity of the portable scanner to body-worn sensors [36]. For the simple WRAP sensor system [37,38], the effective impedance from the scanner side correlates to load resistance (RL) of a RLC parallel circuit, and is given by:…”
Section: B Wrap Sensor Operation Theorymentioning
confidence: 99%
“…For instance, R L can be simply transducer resistance [37], or the resistance across a transistor [38,39] used to probe bioelectric or impedimetric signals. The carrier signal amplitude is modulated due to change of R L , and the modulated signals at the scanner correlate to the changes of R L .…”
Section: B Wrap Sensor Operation Theorymentioning
confidence: 99%
See 3 more Smart Citations