Finger-Worn Sensors for Accurate Functional Assessment of the Upper Limbs in Real-World Settings
暂无分享,去创建一个
[1] M. Maier,et al. Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review , 2016, PloS one.
[2] Paolo Bonato,et al. A Novel Finger-Worn Sensor for Ambulatory Monitoring of Hand Use , 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).
[3] Roger Gassert,et al. A method to qualitatively assess arm use in stroke survivors in the home environment , 2016, Medical & Biological Engineering & Computing.
[4] J. Verbunt,et al. Assessment of arm activity using triaxial accelerometry in patients with a stroke. , 2011, Archives of physical medicine and rehabilitation.
[5] M. Fornage,et al. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association , 2017, Circulation.
[6] C. Lang,et al. An Accelerometry-Based Methodology for Assessment of Real-World Bilateral Upper Extremity Activity , 2014, PloS one.
[7] J. Eng,et al. Exploring the Role of Accelerometers in the Measurement of Real World Upper-Limb Use After Stroke , 2015, Brain Impairment.
[8] J. Cantor,et al. Factor Structure of the Edinburgh Handedness Inventory Versus the Fazio Laterality Inventory in a Population With Established Atypical Handedness , 2015, Applied neuropsychology. Adult.
[9] C. Lang,et al. Quantifying Real-World Upper-Limb Activity in Nondisabled Adults and Adults With Chronic Stroke , 2015, Neurorehabilitation and neural repair.
[10] L. Elias,et al. Footedness is a better predictor than is handedness of emotional lateralization , 1998, Neuropsychologia.
[11] G. Kwakkel,et al. Probability of regaining dexterity in the flaccid upper limb: impact of severity of paresis and time since onset in acute stroke. , 2003, Stroke.
[12] E. Taub,et al. Reliability and Validity of the Upper-Extremity Motor Activity Log-14 for Measuring Real-World Arm Use , 2005, Stroke.