Evidence map›Paper›PMID 35746395›Full record

ArticleSensors (Basel, Switzerland)2022

Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson's Disease Hand Tremor.

Prashanna Khwaounjoo, Gurleen Singh, Sophie Grenfell, Burak Özsoy, Michael R MacAskill, Tim J Anderson, Yusuf O Çakmak

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

7 authors.

Prashanna KhwaounjooDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.ORCID 0000-0003-4566-5068
Gurleen SinghDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.
Sophie GrenfellNew Zealand Brain Research Institute, Christchurch 8011, New Zealand.
Burak ÖzsoyGlobal Dynamic Systems (GDS) ARGE, Teknopark Istanbul, Istanbul 34906, Turkey.
Michael R MacAskillNew Zealand Brain Research Institute, Christchurch 8011, New Zealand.
Tim J AndersonNew Zealand Brain Research Institute, Christchurch 8011, New Zealand.ORCID 0000-0002-1116-3839
Yusuf O ÇakmakDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.ORCID 0000-0003-4884-0714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson’s disease affects millions worldwide with a large rise in expected burden over the coming decades. More easily accessible tools and techniques to diagnose and monitor Parkinson’s disease can improve the quality of life of patients. With the advent of new wearable technologies such as smart rings and watches, this is within reach. However, it is unclear what method for these new technologies may provide the best opportunity to capture the patient-specific severity. This study investigates which locations on the hand can be used to capture and monitor maximal movement/tremor severity. Using a Leap Motion device and custom-made software the volume, velocity, acceleration, and frequency of Parkinson’s (n = 55, all right-handed, majority right-sided onset) patients’ hand locations (25 joints inclusive of all fingers/thumb and the wrist) were captured simultaneously. Distal locations of the right hand, i.e., the ends of fingers and the wrist showed significant trends (p < 0.05) towards having the largest movement velocities and accelerations. The right hand, compared with the left hand, showed significantly greater volumes, velocities, and accelerations (p < 0.01). Supplementary analysis showed that the volumes, acceleration, and velocities had significant correlations (p < 0.001) with clinical MDS-UPDRS scores, indicating the potential suitability of using these metrics for monitoring disease progression. Maximal movements at the distal hand and wrist area indicate that these locations are best suited to capture hand tremor movements and monitor Parkinson’s disease.

Indexed as

Parkinson DiseaseTremorHandHumansMovementQuality of LifeParkinson’s diseasepostural tremorsmart devicestremor detectionwearable sensors

Identifiers

PMID35746395
PMCPMC9230824

What OpenQuestion holds

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Registered trials

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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.