Evidence map›Paper›PMID 28335385›Full record

ArticleSensors (Basel, Switzerland)2017

Patient Posture Monitoring System Based on Flexible Sensors.

Youngsu Cha, Kihyuk Nam, Doik Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Spine Cop: Posture Correction Monitor and Assistant.Sensors (Basel, Switzerland) · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Flexible Piezoelectric Sensor-Based Gait Recognition.Sensors (Basel, Switzerland) · 2018
    Article
  12. 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

3 authors.

Youngsu ChaCenter for Robotics Research, Korea Institute of Science and Technology, Seoul 02792, Korea. givemong@kist.re.kr.
Kihyuk NamCenter for Robotics Research, Korea Institute of Science and Technology, Seoul 02792, Korea. todream623@naver.com.
Doik KimCenter for Robotics Research, Korea Institute of Science and Technology, Seoul 02792, Korea. doikkim@kist.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring patients using vision cameras can cause privacy intrusion problems. In this paper, we propose a patient position monitoring system based on a patient cloth with unobtrusive sensors. We use flexible sensors based on polyvinylidene fluoride, which is a flexible piezoelectric material. Theflexiblesensorsareinsertedintopartsclosetothekneeandhipoftheloosepatientcloth. We measure electrical signals from the sensors caused by the piezoelectric effect when the knee and hip in the cloth are bent. The measured sensor outputs are transferred to a computer via Bluetooth. We use a custom-made program to detect the position of the patient through a rule-based algorithm and the sensor outputs. The detectable postures are based on six human motions in and around a bed. The proposed system can detect the patient positions with a success rate over 88 percent for three patients.

Indexed as

PostureAlgorithmsHumansMonitoring, PhysiologicMotionflexible sensorpatient clothpiezoelectric materialreal-time monitoring

Identifiers

PMID28335385
PMCPMC5375870

What OpenQuestion holds

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LicenceCC BY
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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.