Articles with public access mandates - Paolo BonatoLearn more
Not available anywhere: 10
Tracking motor recovery in stroke survivors undergoing rehabilitation using wearable technology
S Patel, R Hughes, T Hester, J Stein, M Akay, J Dy, P Bonato
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
Mandates: US National Institutes of Health
Detecting sensitive mobility features for Parkinson's disease stages via machine learning
A Mirelman, M Ben Or Frank, M Melamed, L Granovsky, A Nieuwboer, ...
Movement Disorders 36 (9), 2144-2155, 2021
Mandates: European Commission, Michael J Fox Foundation
Using wearable sensors to predict the severity of symptoms and motor complications in late stage Parkinson's disease
S Patel, R Hughes, N Huggins, D Standaert, J Growdon, J Dy, P Bonato
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual …, 2008
Mandates: US National Institutes of Health
A Novel Sensorized Shoe System to Classify Gait Severity in Children with Cerebral Palsy
C Mancinelli, S Patel, LC Deming, D Nimec, JJ Chu, J Beckwith, ...
Engineering in Medicine and Biology Society (EMBC), 2012 Annual …, 2012
Mandates: US National Institutes of Health
Automated Assessment of Gait Deviations in Children with Cerebral Palsy Using a Sensorized Shoe and Active Shape Models
C Strohrmann, S Patel, C Mancinelli, LC Deming, JJ Chu, R Greenwald, ...
2013 IEEE International Conference on Body Sensor Networks (BSN), 1-6, 2013
Mandates: US National Institutes of Health
Using a minimum set of wearable sensors to assess quality of movement in stroke survivors
S Sapienza, C Adans-Dester, OB Anne, G Vergara-Diaz, S Lee, S Patel, ...
2017 IEEE/ACM International Conference on Connected Health: Applications …, 2017
Mandates: US National Institutes of Health
Feasibility of an exoskeleton-based interactive video game system for upper extremity burn contractures
JC Schneider, MY Ozsecen, NK Muraoka, C Mancinelli, U Della Croce, ...
PM&R 8 (5), 445-452, 2016
Mandates: US National Institutes of Health
Human balance models optimized using a large-scale, parallel architecture with applications to mild traumatic brain injury
GA Ciccarelli, M Nolan, HM Rao, T Talkar, A O'Brien, G Vergara-Diaz, ...
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2020
Mandates: US Department of Defense
A novel End-Effector system to enable Pro-Supination movements during Robot-Assisted Upper-Limb training
G La Rosa, C Adans-Dester, E Fabara, A Blank, P Sassaman, ...
Archives of Physical Medicine and Rehabilitation 100 (12), e165, 2019
Mandates: US National Institutes of Health
Crowdsourcing digital health measures to predict Parkinson's disease severity
SK Sieberts, J Schaff, M Duda, BÁ Pataki, M Sun, P Snyder, JF Daneault, ...
Mandates: US National Science Foundation, Swiss National Science Foundation, US …
Available somewhere: 57
A Review of Wearable Sensors and Systems with Application in Rehabilitation
S Patel, H Park, P Bonato, L Chan, M Rodgers
Journal of NeuroEngineering and Rehabilitation 20 (9), 21, 2012
Mandates: US National Institutes of Health
Monitoring Motor Fluctuations in Patients with Parkinson's Disease using Wearable Sensors
S Patel, K Lorincz, R Hughes, N Huggins, J Growdon, D Standaert, ...
IEEE Transactions on Information Technology in Biomedicine 13 (6), 864-873, 2009
Mandates: US National Institutes of Health
Muscle Synergy Patterns as Physiological Markers of Motor Cortical Damage
VCK Cheung, A Turolla, M Agostini, S Silvoni, C Bennis, P Kasi, ...
Proceedings of the National Academy of Sciences 109 (36), 14652-14656, 2012
Mandates: US National Institutes of Health
Technology in Parkinson's disease: challenges and opportunities
AJ Espay, P Bonato, FB Nahab, W Maetzler, JM Dean, J Klucken, ...
Movement Disorders 31 (9), 1272-1282, 2016
Mandates: US National Science Foundation, US National Institutes of Health, Canadian …
A roadmap for implementation of patient‐centered digital outcome measures in Parkinson's disease obtained using mobile health technologies
AJ Espay, JM Hausdorff, Á Sánchez‐Ferro, J Klucken, A Merola, P Bonato, ...
Movement Disorders 34 (5), 657-663, 2019
Mandates: US National Science Foundation, US National Institutes of Health, German …
From A to Z: Wearable technology explained
A Godfrey, V Hetherington, H Shum, P Bonato, NH Lovell, S Stuart
Maturitas 113, 40-47, 2018
Mandates: UK Engineering and Physical Sciences Research Council
The impact of Tai Chi and Qigong mind-body exercises on motor and non-motor function and quality of life in Parkinson's disease: a systematic review and meta-analysis
R Song, W Grabowska, M Park, K Osypiuk, GP Vergara-Diaz, P Bonato, ...
Parkinsonism & related disorders 41, 3-13, 2017
Mandates: US National Institutes of Health
A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology
S Patel, R Hughes, T Hester, J Stein, M Akay, JG Dy, P Bonato
Proceedings of the IEEE 98 (3), 450-461, 2010
Mandates: US National Institutes of Health
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment
BM Eskofier, SI Lee, JF Daneault, FN Golabchi, G Ferreira-Carvalho, ...
2016 38th annual international conference of the IEEE engineering in …, 2016
Mandates: US National Institutes of Health
Impact of Tai Chi Exercise on Multiple Fracture-Related Risk Factors in Post-Menopausal Osteopenic Women: A Pilot Pragmatic, Randomized Trial
PM Wayne, DP Kiel, JE Buring, EM Connors, P Bonato, GY Yeh, ...
BMC complementary and alternative medicine 12 (1), 7, 2012
Mandates: US National Institutes of Health
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