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<p>The current state of the art in biopotential recordings rely on radiative electromagnetic
(EM) fields. In such transmissions, only a small fraction of this energy is received since the
EM fields are widely radiated resulting in lossy inefficient systems. Using the body as a communication medium (similar to a ’wire’) allows for the containment of the energy within the
body, yielding order(s) of magnitude lower energy than radiative EM communication. The
first part of this work introduces Animal Body Communication for untethered rodent biopotential recording and for the first time this work develops the theory and models for animal
body communication circuitry and channel loss. In vivo experimental analysis proves that
ABC successfully transmits acquired electrocardiogram (EKG) signals through the body with
correlation greater than 99% when compared to traditional wireless communication modalities, with a
50x reduction in power consumption. The second part of this work focusses on the analysis
and design of an Electro-Quasistatic Human Body Communication (EQS-HBC) system for
simultaneous sensing and transmission of biopotential signals. In this work, detailed analysis on the system level interaction between the sensing and transmitting circuitry is studied
and a design to enable simultaneous sensing and transmission is proposed. Experimental
analysis was performed to understand the interaction between the Right Leg-Drive circuitry
and the HBC transmission along with the effect of the ADC quantization on signal quality.
Finally, experimental trials proves that EKG signals can be transmitted through the body
with greater than 96% correlation when compared to Bluetooth systems at extremely low powers. </p>
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Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/14119697 |
Date | 25 February 2021 |
Creators | Shreeya Sriram (10195706) |
Source Sets | Purdue University |
Detected Language | English |
Type | Text, Thesis |
Rights | CC BY 4.0 |
Relation | https://figshare.com/articles/thesis/Electro_-_Quasistatic_Body_Communication_for_Biopotential_Applications/14119697 |
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