Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery
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Paolo Bonato | Gloria Vergara-Diaz | Catherine Adans-Dester | Nicolas Hankov | Anne O’Brien | Randie Black-Schaffer | Ross Zafonte | Jennifer Dy | Sunghoon I. Lee | P. Bonato | R. Zafonte | A. O'Brien | C. Adans-Dester | S. Lee | R. Black-Schaffer | J. Dy | G. Vergara-Diaz | Nicolas Hankov
[1] Paolo Bonato,et al. Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training , 2018, IEEE Journal of Translational Engineering in Health and Medicine.
[2] A. Fugl-Meyer,et al. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. , 1975, Scandinavian journal of rehabilitation medicine.
[3] E. Taub,et al. The reliability of the wolf motor function test for assessing upper extremity function after stroke. , 2001, Archives of physical medicine and rehabilitation.
[4] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[5] J. Pons,et al. Combining Dopaminergic Facilitation with Robot-Assisted Upper Limb Therapy in Stroke Survivors , 2016, American journal of physical medicine & rehabilitation.
[6] Fran Brander,et al. Intensive upper limb neurorehabilitation in chronic stroke: outcomes from the Queen Square programme , 2019, Journal of Neurology, Neurosurgery, and Psychiatry.
[7] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[8] S. Jaglal,et al. Cognitive and Motor Recovery and Predictors of Long-Term Outcome in Patients With Traumatic Brain Injury. , 2019, Archives of physical medicine and rehabilitation.
[9] S. Sawamura,et al. Prediction of Functional Outcome After Stroke Rehabilitation , 2000, American journal of physical medicine & rehabilitation.
[10] T. Miller,et al. Prevalence of Long‐Term Disability From Traumatic Brain Injury in the Civilian Population of the United States, 2005 , 2008, The Journal of head trauma rehabilitation.
[11] S. Holm. A Simple Sequentially Rejective Multiple Test Procedure , 1979 .
[12] Steven A Kautz,et al. Corticospinal tract lesion load: An imaging biomarker for stroke motor outcomes , 2015, Annals of neurology.
[13] A. Huk,et al. Temporal Dynamics Underlying Perceptual Decision Making: Insights from the Interplay between an Attractor Model and Parietal Neurophysiology , 2008, Front. Neurosci..
[14] E. Bizzi,et al. Muscle synergy patterns as physiological markers of motor cortical damage , 2012, Proceedings of the National Academy of Sciences.
[15] P. Langhorne,et al. Motor recovery after stroke: a systematic review , 2009, The Lancet Neurology.
[16] Paolo Bonato,et al. Complex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size , 2018, Scientific Reports.
[17] Amanda McIntyre,et al. Rethinking the continuum of stroke rehabilitation. , 2014, Archives of physical medicine and rehabilitation.
[18] Alan D. Lopez,et al. The Global Burden of Disease Study , 2003 .
[19] Shyamal Patel,et al. Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[20] B. Shahbaba,et al. Genetic Variation in the Human Brain Dopamine System Influences Motor Learning and Its Modulation by L-Dopa , 2013, PloS one.
[21] P Piot,et al. The global epidemic. , 1998, AIDS care.
[22] Kendra M. Cherry-Allen,et al. Dose response of task‐specific upper limb training in people at least 6 months poststroke: A phase II, single‐blind, randomized, controlled trial , 2016, Annals of neurology.
[23] J. Schaechter,et al. Corticospinal Tract Diffusion Abnormalities Early After Stroke Predict Motor Outcome , 2014, Neurorehabilitation and neural repair.
[24] Alan D. Lopez,et al. Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study , 1997, The Lancet.
[25] C. Winstein,et al. Been there, done that, so what's next for arm and hand rehabilitation in stroke? , 2018, NeuroRehabilitation.
[26] Alan R. Moody,et al. From Big Data to Precision Medicine , 2019, Front. Med..
[27] M. Alexander,et al. Traumatic brain injury. Predicting course of recovery and outcome for patients admitted to rehabilitation. , 1994, Archives of neurology.
[28] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[29] J. Langlois,et al. Traumatic brain injury in the United States; emergency department visits, hospitalizations, and deaths , 2006 .
[30] J. Krakauer,et al. Computational neurorehabilitation: modeling plasticity and learning to predict recovery , 2016, Journal of NeuroEngineering and Rehabilitation.
[31] Daxi Xiong,et al. A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks , 2016, Comput. Methods Programs Biomed..
[32] Trends in aging--United States and worldwide. , 2003, MMWR. Morbidity and mortality weekly report.
[33] Pablo Maceira-Elvira,et al. Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment , 2019, Journal of NeuroEngineering and Rehabilitation.
[34] M. Reuter,et al. Genetically Determined Differences in Learning from Errors , 2007, Science.
[35] S. Wolf,et al. Assessing Wolf Motor Function Test as Outcome Measure for Research in Patients After Stroke , 2001, Stroke.
[36] A. Wing,et al. Boosting robot-assisted rehabilitation of stroke hemiparesis by individualized selection of upper limb movements – a pilot study , 2019, Journal of NeuroEngineering and Rehabilitation.
[37] Shyamal Patel,et al. A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.
[38] Matthew A Petoe,et al. Proportional recovery after stroke depends on corticomotor integrity , 2015, Annals of neurology.
[39] M. Parnham,et al. 4 Ds in health research—working together toward rapid precision medicine , 2019, EMBO molecular medicine.
[40] Jennifer M. Hootman,et al. Prevalence and most common causes of disability among adults--United States, 2005. , 2009, MMWR. Morbidity and mortality weekly report.
[41] M. Wald,et al. Traumatic brain injury in the United States; emergency department visits, hospitalizations, and deaths, 2002-2006 , 2010 .
[42] Sue Ann Sisto,et al. Wolf Motor Function Test , 2017 .
[43] Shyamal Patel,et al. Using Wearable Motion Sensors to Estimate Longitudinal Changes in Movement Quality in Stroke and Traumatic Brain Injury Survivors Undergoing Rehabilitation , 2016 .
[44] Mark A. Hall,et al. Correlation-based Feature Selection for Machine Learning , 2003 .
[45] D. Silberberg,et al. Nervous system disorders: a global epidemic. , 2002, Archives of neurology.
[46] N. Lannin,et al. A Systematic Review of Upper Limb Rehabilitation for Adults With Traumatic Brain Injury , 2008 .
[47] F. Collins,et al. A new initiative on precision medicine. , 2015, The New England journal of medicine.
[48] E. Mohammadi,et al. Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.
[49] Shyamal Patel,et al. A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology , 2010, Proceedings of the IEEE.
[50] S. Black,et al. The Fugl-Meyer Assessment of Motor Recovery after Stroke: A Critical Review of Its Measurement Properties , 2002, Neurorehabilitation and neural repair.
[51] S. G. Nelson,et al. Reliability of the Fugl-Meyer assessment of sensorimotor recovery following cerebrovascular accident. , 1983, Physical therapy.
[52] C. Lang,et al. Upper Limb Performance in Daily Life Improves Over the First 12 Weeks Poststroke , 2019, Neurorehabilitation and neural repair.
[53] Francesca N. Delling,et al. Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association , 2019, Circulation.
[54] Paolo Bonato,et al. A novel upper-limb function measure derived from finger-worn sensor data collected in a free-living setting , 2019, PloS one.
[55] W. Walker,et al. Motor impairment after severe traumatic brain injury: A longitudinal multicenter study. , 2007, Journal of rehabilitation research and development.
[56] M. Biddle,et al. A report from the American Heart Association Council on Cardiovascular and Stroke Nursing. , 2015, The Journal of cardiovascular nursing.
[57] P. Stratford,et al. Reliability of the Fugl-Meyer assessment for testing motor performance in patients following stroke. , 1993, Physical therapy.
[58] Paolo Bonato,et al. Advances in wearable technology and applications in physical medicine and rehabilitation , 2005, Journal of NeuroEngineering and Rehabilitation.