Validity of accelerometry in step detection and gait speed measurement in orthogeriatric patients
暂无分享,去创建一个
Ieuan Clay | Matthias Schieker | Julian Fürmetz | Holger Hoefling | Alexander M Keppler | Timur Nuritidinow | Arne Mueller | Wolfgang Böcker | Holger Hoefling | I. Clay | M. Schieker | W. Böcker | J. Fürmetz | Arne Mueller | A. Keppler | Timur Nuritidinow
[1] Marcello Maggio,et al. Short-Physical Performance Battery (SPPB) score is associated with falls in older outpatients , 2018, Aging Clinical and Experimental Research.
[2] Scott E. Crouter,et al. Step Counting: A Review of Measurement Considerations and Health-Related Applications , 2016, Sports Medicine.
[3] A. Young,et al. Treadmill Walking in Old Age May Not Reproduce the Real Life Situation , 1993, Journal of the American Geriatrics Society.
[4] Bernd Grimm,et al. Evaluating physical function and activity in the elderly patient using wearable motion sensors , 2016, EFORT open reviews.
[5] Christian Lederer,et al. Association between Walking Speed and Age in Healthy, Free-Living Individuals Using Mobile Accelerometry—A Cross-Sectional Study , 2011, PloS one.
[6] Adele Winter,et al. Validation of an Activity Monitor in Older Inpatients Undergoing Slow Stream Rehabilitation. , 2015, Journal of physical activity & health.
[7] M. Schimpl,et al. Development and Validation of a New Method to Measure Walking Speed in Free-Living Environments Using the Actibelt® Platform , 2011, PloS one.
[8] Tae-Seong Kim,et al. Accelerometer’s position independent physical activity recognition system for long-term activity monitoring in the elderly , 2010, Medical & Biological Engineering & Computing.
[9] Yoshifumi Niki,et al. Relationship between Daily and In-laboratory Gait Speed among Healthy Community-dwelling Older Adults , 2019, Scientific Reports.
[10] K. Kaufman,et al. Validity of using tri-axial accelerometers to measure human movement - Part II: Step counts at a wide range of gait velocities. , 2014, Medical engineering & physics.
[11] Ieuan Clay,et al. Impact of Digital Technologies on Novel Endpoint Capture in Clinical Trials , 2017, Clinical pharmacology and therapeutics.
[12] R. Motl,et al. Possible clinical outcome measures for clinical trials in patients with multiple sclerosis , 2010, Therapeutic advances in neurological disorders.
[13] ATS statement: guidelines for the six-minute walk test. , 2002, American journal of respiratory and critical care medicine.
[14] Andrea Mannini,et al. Fourier-based integration of quasi-periodic gait accelerations for drift-free displacement estimation using inertial sensors , 2015, BioMedical Engineering OnLine.
[15] Shyamal Patel,et al. A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis , 2017, PloS one.
[16] Malcolm Kohler,et al. Accelerometer- versus questionnaire-based assessment of physical activity and their changes over time in patients with COPD , 2017, International journal of chronic obstructive pulmonary disease.
[17] Nandini Dendukuri,et al. Gait speed as an incremental predictor of mortality and major morbidity in elderly patients undergoing cardiac surgery. , 2010, Journal of the American College of Cardiology.
[18] Henning Tiemeier,et al. Physical activity derived from questionnaires and wrist-worn accelerometers: comparability and the role of demographic, lifestyle, and health factors among a population-based sample of older adults , 2017, Clinical epidemiology.
[19] R. Motl,et al. Accuracy of the actibelt(®) accelerometer for measuring walking speed in a controlled environment among persons with multiple sclerosis. , 2012, Gait & posture.
[20] Kyue-Nam Park,et al. Relationship between objectively measured lifestyle factors and health factors in patients with knee osteoarthritis , 2019, Medicine.
[21] Martin Daumer,et al. Method to collect ground truth data for walking speed in real-world environments: description and validation , 2019 .
[22] C. Tudor-Locke,et al. Pedometer accuracy in nursing home and community-dwelling older adults. , 2004, Medicine and science in sports and exercise.
[23] Helena M. Mentis,et al. Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions. , 2017, Gait & posture.
[24] John Hansen,et al. Accuracy of a step counter during treadmill and daily life walking by healthy adults and patients with cardiac disease , 2017, BMJ Open.
[25] Ben J Smith,et al. Physical activity participation and the risk of chronic diseases among South Asian adults: a systematic review and meta-analysis , 2019, Scientific Reports.
[26] M. Decramer,et al. Quantifying physical activity in daily life with questionnaires and motion sensors in COPD , 2006, European Respiratory Journal.
[27] K. Aminian,et al. Physical activity monitoring based on accelerometry: validation and comparison with video observation , 1999, Medical & Biological Engineering & Computing.
[28] Matthew Parsons,et al. Does functionally based activity make a difference to health status and mobility? A randomised controlled trial in residential care facilities (The Promoting Independent Living Study; PILS). , 2007, Age and ageing.
[29] Rachel Senden,et al. Clinical validation of a body-fixed 3D accelerometer and algorithm for activity monitoring in orthopaedic patients , 2017, Journal of orthopaedic translation.
[30] A. Kriska,et al. Gait speed and step-count monitor accuracy in community-dwelling older adults. , 2008, Medicine and science in sports and exercise.
[31] Ieuan Clay,et al. Continuous Monitoring of Patient Mobility for 18 Months Using Inertial Sensors following Traumatic Knee Injury: A Case Study , 2018, Digital Biomarkers.
[32] K. Westerterp,et al. Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water , 2007, Obesity.