Evidence map›Paper›PMID 26426015›Full record

ArticleSensors (Basel, Switzerland)2015

Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment.

Wen Sun, Yu Ge, Zhiqiang Zhang, Wai-Choong Wong

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. 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
–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

1 citing paper in PubMed.

  1. 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.

Wen SunDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 119613, Singapore. sunwennus@gmail.com.
Yu GeInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore. geyu@i2r.a-star.edu.sg.
Zhiqiang ZhangDepartment of Computing, Imperial College, London W120NN, UK. zhiqiang.snarc@gmail.com.
Wai-Choong WongDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 119613, Singapore. wong_lawrence@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wearable sensor system enables continuous and remote health monitoring and is widely considered as the next generation of healthcare technology. The performance, the packet error rate (PER) in particular, of a wearable sensor system may deteriorate due to a number of factors, particularly the interference from the other wearable sensor systems in the vicinity. We systematically evaluate the performance of the wearable sensor system in terms of PER in the presence of such interference in this paper. The factors that affect the performance of the wearable sensor system, such as density, traffic load, and transmission power in a realistic moderate-scale deployment case in hospital are all considered. Simulation results show that with 20% duty cycle, only 68.5% of data transmission can achieve the targeted reliability requirement (PER is less than 0.05) even in the off-peak period in hospital. We then suggest some interference mitigation schemes based on the performance evaluation results in the case study.

Indexed as

Mobile ApplicationsArtifactsBiosensing TechniquesComputer Communication NetworksEnvironmentEquipment DesignHospitalsHumansMonitoring, AmbulatoryReproducibility of ResultsSignal-To-Noise RatioTelemetryWireless Technologybody sensor networkinterference mitigationinter-user interferencewearable sensor system

Identifiers

PMID26426015
PMCPMC4634400

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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.