Evidence map›Paper›PMID 37134030›Full record

ArticleIEEE transactions on biomedical circuits and systems2023

A Versatile In-Ear Biosensing System and Body-Area Network for Unobtrusive Continuous Health Monitoring.

Akshay Paul, Min S Lee, Yuchen Xu, Stephen R Deiss, Gert Cauwenberghs

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on biomedical circuits and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Wireless ear EEG to monitor drowsiness.Nature communications · 2024
    Article
  9. A Low-Power Impedance-to-Frequency Converter for Frequency-Multiplexed Wearable Sensors.IEEE transactions on biomedical circuits and systems · 2024
    Article
  10. Article
  11. 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

5 authors at 1 institution in 1 country.

Akshay Paul
Min S Lee
Yuchen Xu
Stephen R Deiss
Gert Cauwenberghs
University of California San Diego · US

Funding

Neural circuit computations for visual motion during natural primate behaviorsUF1NS116377 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI CAUWENBERGHS, GERT, CORMACK, LAWRENCE KEVIN · 2020 to 2020
$3.3M
NINDS NIH HHS UF1 NS116377
6 · The paper itself

Abstract

To enable continuous, mobile health monitoring, body-worn sensors need to offer comparable performance to clinical devices in a lightweight, unobtrusive package. This work presents a complete versatile wireless electrophysiology data acquisition system (weDAQ) that is demonstrated for in-ear electroencephalography (EEG) and other on-body electrophysiology with user-generic dry-contact electrodes made from standard printed circuit boards (PCBs). Each weDAQ device provides 16 recording channels, driven right leg (DRL), a 3-axis accelerometer, local data storage, and adaptable data transmission modes. The weDAQ wireless interface supports deployment of a body area network (BAN) capable of aggregating various biosignal streams over multiple worn devices simultaneously, on the 802.11n WiFi protocol. Each channel resolves biopotentials ranging over 5 orders of magnitude with a noise level of 0.52 μV

Indexed as

ElectroencephalographyEye MovementsElectrodesHumans

Identifiers

PMID37134030
PMCPMC10550504
OpenAlexW4367834514

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.