Evidence map›Paper›PMID 33969145›Full record

ArticleIEEE internet of things journal2021

Wireless Qi-powered, Multinodal and Multisensory Body Area Network for Mobile Health.

Manik Dautta, Abel Jimenez, Kazi Khurshidi Haque Dia, Nafiul Rashid, Mohammad Abdullah Al Faruque, Peter Tseng

Abstract read
In one paragraph

Article in IEEE internet of things journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. DNS for IoT: A Survey.Sensors (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
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

6 authors.

Manik DauttaDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA - 92697.
Abel JimenezDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA - 92697.
Kazi Khurshidi Haque DiaDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA - 92697.
Nafiul RashidDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA - 92697.
Mohammad Abdullah Al FaruqueDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA - 92697.
Peter TsengDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA - 92697.

Funding

Development of a fully integrated, wearable platform for continuous monitoring of nutrient intakeR21CA239249 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI GREEN, MICHAEL M., TSENG, PETER · 2019 to 2020
$334k
NCI NIH HHS R21 CA239249
6 · The paper itself

Abstract

Wireless, battery-free Body Area Networks (BAN) enable reliable long-term health monitoring with minimal intervention, and have the potential to transform patient care via mobile health monitoring. Current approaches for achieving such battery-free networks are limited in the number, capability, and positioning of sensing nodes-this is related to constraints in power supply, data rate, and working distance requirements between the wireless power source and sensing nodes. Here, we investigate a Qi-based, near-field power transfer scheme that can effectively drive wireless, battery-free, multi-node and multi-sensor BAN over long distances. This consists of a single Qi power source (such as a cellphone), a detached/untethered Passive Intermediate Relay (PIR) (facilitates power transfer from a central Qi source to multiple nodes on the body), and finally individual/detached sensing nodes placed throughout the body. Alongside this power scheme we implement the star network topology of a Gazell protocol to enable the continuous connection of one host to many sensing nodes while minimizing data loss over long temporal periods. The high-power transmission capabilities of Qi enables wireless support for a multitude of sensors (up to 12), and sensing nodes (up to 6) with a single transmitter at long distances (60 cm) and a sample rate of 20 Hz. This scheme is studied both in-vitro and in-vivo on the body.

Indexed as

body area networkGazell communicationhealthcare monitoringwearable sensingwireless power transfer

Identifiers

PMID33969145
PMCPMC8098718

What OpenQuestion holds

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Registered trials

None linked

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.