Evidence map›Paper›PMID 33558552›Full record

ArticleScientific reports2021

Electro-Quasistatic Animal Body Communication for Untethered Rodent Biopotential Recording.

Shreeya Sriram, Shitij Avlani, Matthew P Ward, Shreyas Sen

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shreeya SriramSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA. sriram11@purdue.edu.
Shitij AvlaniSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA.
Matthew P WardWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47906, USA.
Shreyas SenSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA. shreyas@purdue.edu.

Funding

Mapping Stomach Autonomic Circuitry and Function for Neuromodulation of Gastric DisordersOT2OD023847 · OD · PURDUE UNIVERSITY · PI POWLEY, TERRY L. · 2016 to 2021
$17.6M
High Resolution, Noninvasive Measurement and Functional Classification of Vagal Nerve Response Patterns in Relation to Gastroparesis Symptom Management using Gastric Electrical Stimulation TherapyOT2OD028183 · OD · PURDUE UNIVERSITY · PI CLEMENTS, ISAAC PERRY, EVERETT, THOMAS H · 2019 to 2021
$2.0M
NIH HHS OT2 OD023847NIH HHS OT2 OD028183
6 · The paper itself

Abstract

Continuous multi-channel monitoring of biopotential signals is vital in understanding the body as a whole, facilitating accurate models and predictions in neural research. The current state of the art in wireless technologies for untethered 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. In this work, we introduce Animal Body Communication (ABC), which utilizes the concept of using the body as a medium into the domain of untethered animal biopotential recording. This work, for the first time, develops the theory and models for animal body communication circuitry and channel loss. Using this theoretical model, a sub-inch[Formula: see text] [1″ × 1″ × 0.4″], custom-designed sensor node is built using off the shelf components which is capable of sensing and transmitting biopotential signals, through the body of the rat at significantly lower powers compared to traditional wireless transmissions. In-vivo experimental analysis proves that ABC successfully transmits acquired electrocardiogram (EKG) signals through the body with correlation [Formula: see text] when compared to traditional wireless communication modalities, with a 50[Formula: see text] reduction in power consumption.

Indexed as

ElectrocardiographyModels, TheoreticalWearable Electronic DevicesWireless TechnologyAnimalsEquipment DesignRats

Identifiers

PMID33558552
PMCPMC7870669

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.