Evidence map›Paper›PMID 36207392›Full record

ArticleScientific reports2022

The hand tremor spectrum is modified by the inertial sensor mass during lightweight wearable and smartphone-based assessment in healthy young subjects.

Patrícia Seixas Alves Santos, Enzo Gabriel Rocha Santos, Luis Carlos Pereira Monteiro, Bruno Lopes Santos-Lobato, Gustavo Henrique Lima Pinto, Anderson Belgamo, André Santos Cabral, Anselmo de Athayde Costa E Silva, Bianca Callegari, Givago Silva Souza

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Patrícia Seixas Alves SantosInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil.
Enzo Gabriel Rocha SantosInstituto de Ciências Exatas e Naturais, Universidade Federal do Pará, Belém, Brazil.
Luis Carlos Pereira MonteiroInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil.
Bruno Lopes Santos-LobatoInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Brazil.
Gustavo Henrique Lima PintoInstituto de Ciências Exatas e Naturais, Universidade Federal do Pará, Belém, Brazil.
Anderson BelgamoDepartamento de Ciência da Computação, Instituto Federal de São Paulo, Piracicaba, Brazil.
André Santos CabralCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
Anselmo de Athayde Costa E SilvaPrograma de Pós-Graduação em Ciências do Movimento Humano, Instituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Brazil.
Bianca CallegariPrograma de Pós-Graduação em Ciências do Movimento Humano, Instituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Brazil.
Givago Silva SouzaInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil. givagosouza@ufpa.br.
Universidade Federal do Pará · BRFederal Institute of São Paulo · BRUniversidade do Estado do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tremors are common disorders characterized by an involuntary and relatively rhythmic oscillation that can occur in any part of the body and may be physiological or associated with some pathological condition. It is known that the mass loading can change the power spectral distribution of the tremor. Nowadays, many instruments have been used in the evaluation of tremors with bult-in inertial sensors, such as smartphones and wearables, which can significantly differ in the device mass. The aim of this study was to compare the quantification of hand tremor using Fourier spectral techniques obtained from readings of accelerometers built-in a lightweight handheld device and a commercial smartphone in healthy young subjects. We recruited 28 healthy right-handed subjects with ages ranging from 18 to 40 years. We tested hand tremors at rest and postural conditions using lightweight wearable device (5.7 g) and smartphone (169 g). Comparing both devices at resting tremor, we found with smartphone the power distribution of peak ranging 5 and 12 Hz in both hands. With wearable, the result was similar but less evident. When comparing both devices in postural tremor, there were significant differences in both frequency ranges in peak frequency and peak amplitude in both hands. Our main findings show that in resting condition the hand tremor spectrum had a higher peak amplitude in the 5-12 Hz range when the tremor was recorded with smartphones, and in postural condition there was a significantly (p < 0.05) higher peak power spectrum and peak frequency in the dominant hand tremors recorded with smartphones compared to those obtained with lightweight wearable device. Devices having different masses can alter the features of the hand tremor spectrum and their mutual comparisons can be prejudiced.

Indexed as

TremorWearable Electronic DevicesAdolescentAdultHandHumansSmartphoneUpper ExtremityYoung Adult

Identifiers

PMID36207392
PMCPMC9547012
OpenAlexW4303415503

What OpenQuestion holds

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LicenceCC BY
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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.