Shoulder biomechanics and the success of translational research

Cutti, Andrea Giovanni; Chadwick, Edward K.

doi:10.1007/s11517-014-1143-0

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…However, only shoulder external rotation through the image-based app has recently been validated in a healthy sample [ 34 ]. Interest in analysing upper extremity biomechanics also includes individuals suffering from shoulder diseases, given that the shoulder is the most affected region in the upper limbs after the hand [ 38 ]. In patients with chronic shoulder pain, ROM is limited and results in restricted daily activities [ 39 ].…”

Section: Introductionmentioning

confidence: 99%

“…In patients with chronic shoulder pain, ROM is limited and results in restricted daily activities [ 39 ]. Consequently, it is necessary to find simple, effective tools that can improve diagnosis and outcome assessment [ 38 ]. Furthermore, rehabilitation services that are technology-focused contemplate the term ‘image-based telerehabilitation’ [ 40 ].…”

Section: Introductionmentioning

confidence: 99%

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Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study

Cuesta‐Vargas

Roldán-Jiménez

2016

BMC Musculoskelet Disord

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BackgroundMeasuring range of movement is important in clinical shoulder assessment. Over the years, different techniques have been used to analyze upper limbs mobility. Smartphone image-based goniometer offers a noninvasive easy-to-use method of measuring arm abduction angle. However, the validity of this method has not been previously established. The purpose of this study was to investigate the validity and reliability of an Internet and image-based app (mROM) regarding arm abduction angle in both healthy subjects and patients suffering from shoulder damage.MethodsTwenty three subjects with shoulder pathology (14 female, 9 male) and 14 healthy subjects (8 female, 6 male) were examined (37 shoulders). mROM app was used to measure arm abduction angle. Two examiners measured 37 shoulders on 3 separate occasions over 2 days: 2 measurements on the first day and a third one the following day. Descriptive statistics were calculated for descriptive and anthropometric variables, as well as for the first measure of arm abduction angle by photographs and inertial sensors. Reliability was investigated by intraclass correlation coefficients and p values, and validity by Pearson correlation and P.ResultsIntra-rater and inter-rater reliability were high (intraclass correlation coefficients 0.998 and 0.984 respectively) for the total sample, although, for the healthy group, intrareliability was lower and interreliability was no reliable. Measurements from photographs and intertial sensors were highly correlated (Pearson r = 0.964) for the total sample. However, it was no significant for the healthy group.ConclusionSmartphone photographs are a reliable and valid method to measure arm abduction angle, supporting the use of photography obtained through app for measuring joint ROM. This method provides a convenient and precise tool in assessment of arm motion.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study

Cuesta‐Vargas

Roldán-Jiménez

2016

BMC Musculoskelet Disord

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“…However, it tends to be deep in kinematic aspects [31] and 3D kinematics [32,42]. For that reason, inertial devices have played an important role when studying shoulder kinematics in several studies [43,44].…”

Section: Discussionmentioning

confidence: 99%

Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones

Roldán-Jiménez¹,

Cuesta-Vargas²,

Bennett³

2015

JMIR Rehabil Assist Technol

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BackgroundIn recent years, there has been a great interest in analyzing upper-limb kinematics. Inertial measurement with mobile phones is a convenient and portable analysis method for studying humerus kinematics in terms of angular mobility and linear acceleration.ObjectiveThe aim of this analysis was to study upper-limb kinematics via mobile phones through six physical properties that correspond to angular mobility and acceleration in the three axes of space.MethodsThis cross-sectional study recruited healthy young adult subjects. Humerus kinematics was studied in 10 young adults with the iPhone4. They performed flexion and abduction analytical tasks. Mobility angle and lineal acceleration in each of its axes (yaw, pitch, and roll) were obtained with the iPhone4. This device was placed on the right half of the body of each subject, in the middle third of the humerus, slightly posterior. Descriptive statistics were calculated.ResultsDescriptive graphics of analytical tasks performed were obtained. The biggest range of motion was found in pitch angle, and the biggest acceleration was found in the y-axis in both analytical tasks. Focusing on tridimensional kinematics, bigger range of motion and acceleration was found in abduction (209.69 degrees and 23.31 degrees per second respectively). Also, very strong correlation was found between angular mobility and linear acceleration in abduction (r=.845) and flexion (r=.860).ConclusionsThe use of an iPhone for humerus tridimensional kinematics is feasible. This supports use of the mobile phone as a device to analyze upper-limb kinematics and to facilitate the evaluation of the patient.

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“…In occupational therapy, it is useful for the evaluation of activities so as to reduce the impact of injuries due to a bad posture [4][5][6]. In veterinary medicine, it can be used for rehabilitation and the evaluation of movement in animals [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Device and method for the biomechanical analysis of articular amplitude using micro-sensors for the measurement of movement

Callejas-Cuervo¹,

Álvarez²,

Álvarez³

2019

Adv. Mater. Lett.

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The present article describes the creation and operation of a device for biomechanical analysis, which is portable, precise, non-invasive, and which allows us to autonomously obtain the position, orientation and measurement of the articular amplitude of two body segments connected by a joint. The above is carried out with data obtained from a number of inertial and magnetic microsensors. The device, through the application of a series of methods, allows the recording of the movements made by a person while they go about their daily activities without the need of including a computing system that operates it. This can be done in real time or delayed-mode, and for long periods of time, depending on the battery charge of the device.

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Shoulder biomechanics and the success of translational research

Abstract: development of rehabilitation treatments focused on occupational tasks, taking advantage of state-of-the-art biofeedback technologies, and exploiting the power of biomechanical models for muscle force prediction.

Cited by 9 publications

References 21 publications

Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study

Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study

Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones

Device and method for the biomechanical analysis of articular amplitude using micro-sensors for the measurement of movement

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