Evidence map›Paper›PMID 32908470›Full record

ArticleComputational intelligence and neuroscience2020

Towards an Accessible Use of a Brain-Computer Interfaces-Based Home Care System through a Smartphone.

Koun-Tem Sun, Kai-Lung Hsieh, Syuan-Rong Syu

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2020. 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
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Koun-Tem SunDepartment of Information and Learning Technology, National University of Tainan, 33, Sec. 2, Shu-Lin St., Tainan 70005, Taiwan.
Kai-Lung HsiehDepartment of Information and Learning Technology, National University of Tainan, 33, Sec. 2, Shu-Lin St., Tainan 70005, Taiwan.ORCID https://orcid.org/0000-0003-0641-9411
Syuan-Rong SyuDepartment of Information and Learning Technology, National University of Tainan, 33, Sec. 2, Shu-Lin St., Tainan 70005, Taiwan.
National University of Tainan · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposes a home care system (HCS) based on a brain-computer interface (BCI) with a smartphone. The HCS provides daily help to motor-disabled people when a caregiver is not present. The aim of the study is two-fold: (1) to develop a BCI-based home care system to help end-users control their household appliances, and (2) to assess whether the architecture of the HCS is easy for motor-disabled people to use. A motion-strip is used to evoke event-related potentials (ERPs) in the brain of the user, and the system immediately processes these potentials to decode the user's intentions. The system, then, translates these intentions into application commands and sends them via Bluetooth to the user's smartphone to make an emergency call or to execute the corresponding app to emit an infrared (IR) signal to control a household appliance. Fifteen healthy and seven motor-disabled subjects (including the one with ALS) participated in the experiment. The average online accuracy was 81.8% and 78.1%, respectively. Using component N2P3 to discriminate targets from nontargets can increase the efficiency of the system. Results showed that the system allows end-users to use smartphone apps as long as they are using their brain waves. More important, only one electrode O1 is required to measure EEG signals, giving the system good practical usability. The HCS can, thus, improve the autonomy and self-reliance of its end-users.

Indexed as

Brain-Computer InterfacesHome Care ServicesElectroencephalographyEvoked PotentialsHumansSmartphoneUser-Computer Interface

Identifiers

PMID32908470
PMCPMC7474741
OpenAlexW3082129938

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.