Smartphone Technology to Remotely Measure Postural Sway during Double- and Single-Leg Squats in Adults with Femoroacetabular Impingement and Those with No Hip Pain
暂无分享,去创建一个
N. Wickramasinghe | A. Pranata | D. El-ansary | O. Tirosh | C. Marshall | C. Ganderton | A. Takla | Phong Tran | J. O’Donnell | Adam Feltham
[1] Khaled Aliqab,et al. 5G Technology in Healthcare and Wearable Devices: A Review , 2023, Sensors.
[2] U. Habib,et al. AI-Enabled Wearable Medical Internet of Things in Healthcare System: A Survey , 2023, Applied Sciences.
[3] Efthymios Ziagkas,et al. Accelerometers in Our Pocket: Does Smartphone Accelerometer Technology Provide Accurate Data? , 2022, Sensors.
[4] N. Wickramasinghe,et al. Validity and Reliability of a Novel Smartphone Tele-Assessment Solution for Quantifying Hip Range of Motion , 2022, Sensors.
[5] P. Feys,et al. Using Telehealth to Guarantee the Continuity of Rehabilitation during the COVID-19 Pandemic: A Systematic Review , 2022, International journal of environmental research and public health.
[6] John J. Fernandez,et al. Patient Perspectives on Telemedicine During the COVID-19 Pandemic , 2021, Hand.
[7] Wen-Hsu Sung,et al. Development of a Smartphone-Based Balance Assessment System for Subjects with Stroke , 2019, Sensors.
[8] D. Neumann,et al. Hip Biomechanics During a Single-Leg Squat: Five Key Differences Between People With Femoroacetabular Impingement Syndrome and Those Without Hip Pain. , 2019, The Journal of orthopaedic and sports physical therapy.
[9] Weijie Wang,et al. Single-Leg Squat Delicacies-The Position of the Nonstance Limb is an Important Consideration. , 2019, Journal of sport rehabilitation.
[10] Enrique Herrera-Viedma,et al. Smartphone Applications to Perform Body Balance Assessment: a Standardized Review , 2018, Journal of Medical Systems.
[11] Federica Verdini,et al. Balance assessment during squatting exercise: A comparison between laboratory grade force plate and a commercial, low-cost device. , 2018, Journal of biomechanics.
[12] Fu-Shan Jaw,et al. Evaluating the specifications of built-in accelerometers in smartphones on fall detection performance , 2018 .
[13] Andrew Sexton,et al. Convergent Validity of a Wearable Sensor System for Measuring Sub-Task Performance during the Timed Up-and-Go Test , 2017, Sensors.
[14] Scott W Cheatham,et al. Hip Musculoskeletal Conditions and Associated Factors That Influence Squat Performance: A Systematic Review. , 2017, Journal of sport rehabilitation.
[15] F. Hug,et al. The effects of acute experimental hip muscle pain on dynamic single-limb balance performance in healthy middle-aged adults. , 2016, Gait & posture.
[16] Anton Umek,et al. Evaluation of Smartphone Inertial Sensor Performance for Cross-Platform Mobile Applications , 2016, Sensors.
[17] N. Vuillerme,et al. Validity and Reliability of Gait and Postural Control Analysis Using the Tri-axial Accelerometer of the iPod Touch , 2015, Annals of Biomedical Engineering.
[18] Anson B. Rosenfeldt,et al. Objective assessment of postural stability in Parkinson's disease using mobile technology , 2015, Movement disorders : official journal of the Movement Disorder Society.
[19] F. Hug,et al. Acute experimental hip muscle pain alters single-leg squat balance in healthy young adults. , 2015, Gait & posture.
[20] Ross A Clark,et al. Impairment of Dynamic Single‐Leg Balance Performance in Individuals With Hip Chondropathy , 2013, Arthritis care & research.
[21] S. Mathiassen,et al. Motor variability in occupational health and performance. , 2012, Clinical biomechanics.
[22] Toshiyo Tamura,et al. Postural sway parameters using a triaxial accelerometer: comparing elderly and young healthy adults , 2012, Computer methods in biomechanics and biomedical engineering.
[23] J. Hart,et al. Lower extremity neuromuscular control immediately after fatiguing hip-abduction exercise. , 2011, Journal of athletic training.
[24] P Madeleine,et al. Changes in the amount and structure of motor variability during a deboning process are associated with work experience and neck-shoulder discomfort. , 2009, Applied ergonomics.
[25] Justin J Kavanagh,et al. Lower trunk motion and speed-dependence during walking , 2009, Journal of NeuroEngineering and Rehabilitation.
[26] Darin A Padua,et al. Muscle strength and flexibility characteristics of people displaying excessive medial knee displacement. , 2008, Archives of physical medicine and rehabilitation.
[27] N. Stergiou,et al. A Novel Approach to Measure Variability in the Anterior Cruciate Ligament Deficient Knee During Walking: The Use of the Approximate Entropy in Orthopaedics , 2006, Journal of Clinical Monitoring and Computing.
[28] R. Moe-Nilssen,et al. Trunk accelerometry as a measure of balance control during quiet standing. , 2002, Gait & posture.
[29] Joseph Hamill,et al. Variability of Stride Characteristics and Joint Coordination among Individuals with Unilateral Patellofemoral Pain , 2002 .
[30] K. Boyd,et al. Common Hip Injuries in Sport , 1997, Sports medicine.
[31] David A. Winter,et al. Human balance and posture control during standing and walking , 1995 .
[32] Jacob Cohen,et al. Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .
[33] J. R. Landis,et al. The measurement of observer agreement for categorical data. , 1977, Biometrics.
[34] Jacob J. Sosnoff,et al. Smartphone technology can measure postural stability and discriminate fall risk in older adults. , 2019, Gait & posture.
[35] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[36] Queensland.. Household use of information technology , 2006 .
[37] B. Busconi,et al. Assessment and differential diagnosis of the painful hip. , 2003, Clinical orthopaedics and related research.
[38] G Atkinson,et al. Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine , 1998, Sports medicine.
[39] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .