Validity and reliability of a smartphone-based assessment for anticipatory and compensatory postural adjustments during predictable perturbations

Duarte, Manuela; Moraes, Anderson Antunes da Costa; Ferreira, Eduardo Veloso; Almeida, Gizele Cristina da Silva; Santos, Enzo Gabriel Rocha; Pinto, Gustavo; Oliveira, Paulo Rui de; Amorim, César Ferreira; Cabral, André dos Santos; Saunier, Ghislain; Kleiner, Ana Francisca Rozin; Belgamo, Anderson; Souza, Givago da Silva; Callegari, Bianca

doi:10.1016/j.gaitpost.2022.05.002

Cited by 7 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used a custom-made application (Momentum app) programmed in Android Studio to record the inertial signals from the triaxial accelerometer (LMS6DSL model, amplitude resolution: 16 bits, range: ±4 g) present on the phone device with an acquisition rate of 50 Hz. The Momentum app has been validated for different protocols of movement evaluation [ 27 , 28 ] and it is available for internal testing in the Play Store on request to the authors of the present investigation. The wearable commercial device (Model MetamotionC, MbientLab, San Francisco, CA, USA) was a portable inertial sensor that works through small-sized equipment (25 mm diameter × 4 mm in case, 5.6 g), enabling positioning in different body regions and requiring smartphone applications for Android and iOS systems (MetaBase, MbientLab, San Francisco, CA, USA) to store the recordings collected by the device.…”

Section: Methodsmentioning

confidence: 99%

Wearable Devices and Smartphone Inertial Sensors for Static Balance Assessment: A Concurrent Validity Study in Young Adult Population

Rodrigues

Santos

et al. 2022

JPM

Self Cite

View full text Add to dashboard Cite

Falls represent a public health issue around the world and prevention is an important part of the politics of many countries. The standard method of evaluating balance is posturography using a force platform, which has high financial costs. Other instruments, such as portable devices and smartphones, have been evaluated as low-cost alternatives to the screening of balance control. Although smartphones and wearables have different sizes, shapes, and weights, they have been systematically validated for static balance control tasks. Different studies have applied different experimental configurations to validate the inertial measurements obtained by these devices. We aim to evaluate the concurrent validity of a smartphone and a portable device for the evaluation of static balance control in the same group of participants. Twenty-six healthy and young subjects comprised the sample. The validity for static balance control evaluation of built-in accelerometers inside portable smartphone and wearable devices was tested considering force platform recordings as a gold standard for comparisons. A linear correlation (r) between the quantitative variables obtained from the inertial sensors and the force platform was used as an indicator of the concurrent validity. Reliability of the measures was calculated using Intraclass correlation in a subsample (n = 14). Smartphones had 11 out of 12 variables with significant moderate to very high correlation (r > 0.5, p < 0.05) with force platform variables in open eyes, closed eyes, and unipedal conditions, while wearable devices had 8 out of 12 variables with moderate to very high correlation (r > 0.5, p < 0.05) with force platform variables under the same task conditions. Significant reliabilities were found in closed eye conditions for smartphones and wearables. The smartphone and wearable devices had concurrent validity for the static balance evaluation and the smartphone had better validity results than the wearables for the static balance evaluation.

show abstract

Section: Methodsmentioning

confidence: 99%

Wearable Devices and Smartphone Inertial Sensors for Static Balance Assessment: A Concurrent Validity Study in Young Adult Population

Rodrigues

Santos

et al. 2022

JPM

Self Cite

View full text Add to dashboard Cite

show abstract

“…The acquisition frequency of the inertial sensors in the wearable device was set as 100 Hz. The smartphone was a Samsung Galaxy A20 model, 158.4 × 74.7 × 7.8 mm, with 169 g. An Android app Momentum 34 , 35 was used to start and finish the smartphone sensor recording. The acquisition frequency of the accelerometer (LMS6DSL model, 16 bits, range: ± 4 g) on the mobile device was 50 Hz.…”

Section: Methodsmentioning

confidence: 99%

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

Santos

Monteiro

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Wearable sensors-based postural analysis and fall risk assessment among patients with diabetic foot neuropathy

Brognara,

Sempere-Bigorra,

Mazzotti

et al. 2023

Journal of Tissue Viability

View full text Add to dashboard Cite

Validity and reliability of a smartphone-based assessment for anticipatory and compensatory postural adjustments during predictable perturbations

Cited by 7 publications

References 37 publications

Wearable Devices and Smartphone Inertial Sensors for Static Balance Assessment: A Concurrent Validity Study in Young Adult Population

Wearable Devices and Smartphone Inertial Sensors for Static Balance Assessment: A Concurrent Validity Study in Young Adult Population

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

Wearable sensors-based postural analysis and fall risk assessment among patients with diabetic foot neuropathy

Contact Info

Product

Resources

About