A new method measurement for finger range of motion using a smartphone

Miyake, Keisuke; Mori, Hideki; Kimura, Chizu; Izumoto, Mamiko; Nakaoka, Hiroki J.; Sayama, Koji

doi:10.1080/2000656x.2020.1755296

Cited by 15 publications

(13 citation statements)

References 10 publications

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“…The authors found that the smartphone goniometer had a high intra-class correlation coefficient (0.927) and its measurements took an average 49 per cent less time to perform. 17 Smartphone-based measurements thus exhibited the same reliability but took half the time compared to a traditional goniometer. Their study, using an Android application that the research team had developed themselves (and is currently only available through Google Play in Japan) was the first to specifically assess finger ROM using a smartphone goniometer.…”

Section: Discussionmentioning

confidence: 89%

“…A recent article by Miyake and colleagues 17 explored ROM measurements using both a traditional protractor-based goniometer and a smartphone goniometer application across 1007 finger joints. The authors found that the smartphone goniometer had a high intra-class correlation coefficient (0.927) and its measurements took an average 49 per cent less time to perform.…”

Section: Discussionmentioning

confidence: 99%

“…16 The ability for the patient to self-measure with these electronic applications was a frequently noted benefit. A recently published article 17 assessed smartphone apps use for hand measurements and found favourable reliability and measurement time relative to conventional goniometers. This study sought to further assess accuracy of smartphone apps compared to a traditional UG in ROM assessment of healthy and diseased hands.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Smartphone goniometer for reliable and convenient measurement of finger range of motion: a comparative study

Theile

Walsh

Scougall

et al. 2022

Australas J Plast Surg

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ObjectiveGoniometer measurements are commonly used in hand clinics to follow progress or as an outcome measure for acute and chronic conditions. The use of an Apple iPhone goniometer application (smartphone app) may provide a practical alternative for clinicians. This study sought to assess accuracy in range-of-motion measurements obtained by a smartphone app compared to a traditional universal goniometer (UG) in healthy and diseased hands. MethodsPatients with various hand disease processes were recruited through a tertiary hospital hand clinic, as well as healthy volunteers. Middle and little fingers were assessed at the metacarpophalangeal (MCP), proximal interphalangeal (PIP) and distal interphalangeal (DIP) joints for flexion and extension. Measurements were taken using a UG and a smartphone app by two independent evaluators using a standardised proforma. ResultsTwenty patients were recruited (50% male, 50% female; 13 healthy volunteers and seven with hand pathology). There were no significant differences in measurements using the smartphone app. The only significant difference found using the UG was for little finger PIP joint flexion; however, the difference was only 2.5°. Comparison of the average measurements using a UG and smartphone app found significant differences for six joints, with none of these > 5° (largest 4.6°). ConclusionThe smartphone app is as reliable as traditional UG and would be a practical tool for everyday use in hand clinics. Its uptake may provide broader utility for patient self-measurement and telemedicine.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smartphone goniometer for reliable and convenient measurement of finger range of motion: a comparative study

Theile

Walsh

Scougall

et al. 2022

Australas J Plast Surg

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“…This method has been investigated in healthy volunteers and patients with fractures of the phalanges, tendon rupture repair, and Dupuytren disease with good agreements. [15][16][17][18] However, both methods are still subjective and time-consuming to obtain the data. A more convenient and automatic technique would be valuable in telemedicine examination, particularly for analyzing the function of digits in hand surgery.…”

Section: Introductionmentioning

confidence: 99%

Automatic range of motion measurement via smartphone images for telemedicine examination of the hand

Fan

Wang

et al. 2023

Science Progress

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Background Telemedicine support virtual consultations and evaluations in hand surgery for patients in remote areas during the COVID-19 era. However, traditional physical examination is challenging in telemedicine and it is inconvenient to manually measure the hand range of motion (ROM) from images or videos. Here, we propose an automatic method using the hand pose estimation technique, aiming to measure the hand ROM from smartphone images. Methods Twenty-eight healthy volunteers participated in the study. An eight-hand gestures measurement protocol and the Google MediaPipe Hands were used to analyze images and calculate the ROM automatically. Manual goniometry was also performed according to the guideline of the American Medical Association. The correlation between the automatic and manual methods was analyzed by the intraclass correlation coefficient and Pearson correlation coefficient. The clinical acceptance was testified using Bland-Altman plots. Results A total of 32 parameters of each hand were measured by both methods, and 1792 measurement results were compared. The mean difference between automatic and manual methods is −2.21 ± 9.29° in the angle measurement and 0.48 ± 0.48 cm in the distance measurement. The intraclass correlation coefficient of 75% of parameters was higher than 0.75, the Pearson correlation coefficient of 84% of parameters was over 0.6, and 40.6% of parameters reached well-accepted clinical agreements. Conclusions The proposed method provides a helpful protocol for automatic hand ROM measurement based on smartphone images and the MediaPipe Hands pose estimation technique. The automatic measurement is acceptable and comparable with existing methods, showing a possible application in the telemedicine examination of hand surgery.

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“…Various studies have leveraged smartphone sensors such as the internal measurement unit (IMU) and/or Global Positioning System (GPS) to track general health metrics such as physical and mental wellbeing and physical activity [10] [11]. The hand has also been studied, including hand strength [12], and wrist and finger range of motion [9] [13].…”

Section: Introductionmentioning

confidence: 99%

Cutaneous perception identification using smartphone haptic feedback

Torres¹,

Abbott²,

Wang³

et al. 2022

Preprint

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<p>The skin’s ability to sense its environment is vital to activities of daily living. Cutaneous sensory perception diagnostics allow for the early detection and symptom tracking of tactile dysfunction. However, lack of access to healthcare and the limited frequency of current screening tools can leave skin sensation impairments undiscovered or unmonitored. This work presents a smartphone application for Cutaneous Hand Assessment with a Smartphone Interface (CHASI) to establish Vibrational Perception Thresholds (VPT). CHASI’s vibrational output and force measurement abilities are also characterized. An 18-participant cross-sectional study, with both normative subjects and subjects with sensation impairment, compares the monofilament test with smartphone established VPT (SE- VPT). We find a high positive correlation between SE-VPT and monofilament scores (rs=0.83, p = 0.00014). We also investigate the sensitivity of our proposed SE-VPT method to the motions and forces applied to the touchscreen. We find that variations in force do not alter the practical significance of the monofilament correlation. These results further the smartphone as a potential diagnostic and monitoring tool for hand health.</p>

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A new method measurement for finger range of motion using a smartphone

Cited by 15 publications

References 10 publications

Smartphone goniometer for reliable and convenient measurement of finger range of motion: a comparative study

Smartphone goniometer for reliable and convenient measurement of finger range of motion: a comparative study

Automatic range of motion measurement via smartphone images for telemedicine examination of the hand

Cutaneous perception identification using smartphone haptic feedback

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