Evidence map›Paper›PMID 28360883›Full record

ArticleFrontiers in neurology2017

Continuous Monitoring of Essential Tremor Using a Portable System Based on Smartwatch.

Xiaochen Zheng, Alba Vieira Campos, Joaquín Ordieres-Meré, Jose Balseiro, Sergio Labrador Marcos, Yolanda Aladro

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Prospective Home-use Study on Non-invasive Neuromodulation Therapy for Essential Tremor.Tremor and other hyperkinetic movements (New York, N.Y.) · 2020
    Trial
  5. Article
  6. Article
  7. Review
  8. Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor.IEEE journal of translational engineering in health and medicine · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Quantifying Tremor in Essential Tremor Using Inertial Sensors-Validation of an Algorithm.IEEE journal of translational engineering in health and medicine · 2021
    Article
  16. Quantitative measures of postural tremor at the upper limb joints in patients with essential tremor.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Xiaochen ZhengDepartment of Industrial Engineering, Technical University of Madrid , Madrid , Spain.
Alba Vieira CamposUniversity Hospital of Getafe, Getafe , Madrid , Spain.
Joaquín Ordieres-MeréDepartment of Industrial Engineering, Technical University of Madrid , Madrid , Spain.
Jose BalseiroUniversity Hospital of Getafe, Getafe , Madrid , Spain.
Sergio Labrador MarcosUniversity Hospital of Getafe, Getafe , Madrid , Spain.
Yolanda AladroUniversity Hospital of Getafe, Getafe , Madrid , Spain.
Hospital Universitario de Getafe · ESUniversidad Politécnica de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEssential tremor (ET) shows amplitude fluctuations throughout the day, presenting challenges in both clinical and treatment monitoring. Tremor severity is currently evaluated by validated rating scales, which only provide a timely and subjective assessment during a clinical visit. Motor sensors have shown favorable performances in quantifying tremor objectively.

methodsA new highly portable system was used to monitor tremor continuously during daily lives. It consists of a smartwatch with a triaxial accelerometer, a smartphone, and a remote server. An experiment was conducted involving eight ET patients. The average effective data collection time per patient was 26 (±6.05) hours. Fahn-Tolosa-Marin Tremor Rating Scale (FTMTRS) was adopted as the gold standard to classify tremor and to validate the performance of the system. Quantitative analysis of tremor severity on different time scales is validated.

resultsSignificant correlations were observed between neurologist's FTMTRS and patient's FTMTRS auto-assessment scores (

conclusionThis study demonstrates the feasibility of prolonged and continuous monitoring of tremor severity during daily activities by a highly portable non-restrictive system, a useful tool to analyze efficacy and effectiveness of treatment.

Indexed as

accelerometercontinuous monitoringessential tremorremote diagnosissmartwatch

Identifiers

PMID28360883
PMCPMC5350115
OpenAlexW2612644161

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.