Design and Implementation of an Indoor Warning System with Physiological Signal Monitoring for People Isolated at Home.

Chi-Huang Hung, Yong-Yi Fanjiang, Yi-Shiune Lee, Yi-Chao Wu

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.8field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

BLE Signal Processing and Machine Learning for Indoor Behavior Classification.Sensors (Basel, Switzerland) · 2025
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

4 authors at 2 institutions in 1 country.

Chi-Huang HungDepartment of Information Technology, Lee-Ming Institute of Technology, New Taipei City 24346, Taiwan.ORCID 0000-0001-6787-3517

Yong-Yi FanjiangGraduate Institute of Applied Science and Engineering, Fu Jen Catholic University, New Taipei City 242062, Taiwan.

Yi-Shiune LeeGraduate Institute of Applied Science and Engineering, Fu Jen Catholic University, New Taipei City 242062, Taiwan.

Yi-Chao WuInterdisciplinary Program of Green and Information Technology, National Taitung University, Taitung 95092, Taiwan.

Fu Jen Catholic University · TWNational Taitung University · TW

Funding

Ministry of Science and Technology 110-2221-E-030 -001

6 · The paper itself

Abstract

Due to the recent COVID-19 pandemic, many people have faced in-home isolation, as every suspected patient must stay at home. The behavior of such isolated people needs to be monitored to ensure that they are staying at home. Using a camera is a very practical method. However, smart bracelets are more convenient when personal privacy is a concern or when the blood oxygen value or heart rate must be monitored. In this study, a low-cost indoor positioning system that uses a Bluetooth beacon, a smart bracelet, and an embedded system is proposed. In addition to monitoring whether a person living alone is active in a specific environment and tracking the heart rate or blood oxygen value under particular conditions, this system can also send early warning signals to specific observation units or relatives through instant messaging software.

Indexed as

COVID-19PandemicsHome EnvironmentHumansMonitoring, PhysiologicSARS-CoV-2Bluetooth beaconindoor positionphysiological signal monitoring

Identifiers

PMID35062550

DOI10.3390/s22020590

PMCPMC8779929

OpenAlexW4205596279

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.