Evidence map›Paper›PMID 30634462›Full record

ArticleSensors (Basel, Switzerland)2019

Wearable Sensor Based Stooped Posture Estimation in Simulated Parkinson's Disease Gaits.

Quoc Khanh Dang, Han Gil Seo, Duy Duong Pham, Youngjoon Chee

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Continuous mobile measurement of camptocormia angle using four accelerometers.Medical & biological engineering & computing · 2024
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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 4 institutions in 2 countries.

Quoc Khanh DangImpedance Imaging Research Center (IIRC), Kyung Hee University, Seoul 02447, Korea. khanhdq8689@gmail.com.ORCID 0000-0003-1439-0241
Han Gil SeoDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul 03080, Korea. hgseo80@gmail.com.ORCID 0000-0001-6904-7542
Duy Duong PhamElectrical and Electronic Engineering department, The University of Danang-University of Technology and Education, Danang 550000, Vietnam. duyduongd2@gmail.com.ORCID 0000-0002-1067-4952
Youngjoon CheeSchool of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea. yjchee@ulsan.ac.kr.
Kyung Hee University · KRSeoul National University Hospital · KRUniversity of Da Nang · VNUniversity of Ulsan · KR

Funding

University of Ulsan 2016-0138
6 · The paper itself

Abstract

Stooping is a posture which is described as an involuntary forward bending of the thoracolumbar spine. Conventionally, the stooped posture (SP) in Parkinson's disease patients is measured in static or limited movement conditions using a radiological or optoelectronic system. In the dynamic condition with long movement distance, there was no effective method in preference to the empirical assessment from doctors. In this research, we proposed a practical method for estimating the SP with a high accuracy where accelerometers can be mounted on the neck or upper back as a wearable sensor. The experiments with simulated subjects showed a high correlation of 0.96 and 0.99 between the estimated SP angle and the reference angles for neck and back sensor position, respectively. The maximum absolute error (0.9 and 1.5 degrees) indicated that the system can be used, not only in clinical assessment as a measurement, but also in daily life as a corrector.

Indexed as

Biosensing TechniquesGaitHumansMonitoring, PhysiologicParkinson DiseasePostural BalancePostureWearable Electronic DevicesaccelerometerParkinson’s diseasestooped posture

Identifiers

PMID30634462
PMCPMC6359041
OpenAlexW2909021854

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.