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Luca Lonini

Showing results (11-20 of 19) with videos related to

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JMIR Rehabilitation and Assistive Technologies|August 12, 2017
Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific ModelsLuca Lonini, Aakash Gupta, Susan Deems-Dluhy, et al.
JMIR Mhealth and Uhealth|October 13, 2017
Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World ApplicationsNicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, et al.
Journal of Neuroengineering and Rehabilitation|May 3, 2024
Detecting the symptoms of Parkinson's disease with non-standard videoJoseph Mifsud, Kyle R Embry, Rebecca Macaluso, et al.
JMIR Mhealth and Uhealth|December 21, 2017
Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World ApplicationsNicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 12, 2021
Combining Accelerometer and GPS Features to Evaluate Community Mobility in Knee Ankle Foot Orthoses (KAFO) UsersLuca Lonini, Nicholas Shawen, Shenan Hoppe-Ludwig, et al.
Gigascience|March 23, 2017
Using and understanding cross-validation strategies. Perspectives on Saeb et alMax A Little, Gael Varoquaux, Sohrab Saeb, et al.
NPJ Digital Medicine|July 16, 2019
Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection modelsLuca Lonini, Andrew Dai, Nicholas Shawen, et al.
Journal of Neuroengineering and Rehabilitation|April 22, 2020
Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensorsNicholas Shawen, Megan K O'Brien, Sanjeev Venkatesan, et al.
IEEE Journal of Translational Engineering in Health and Medicine|March 5, 2021
Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot StudyLuca Lonini, Nicholas Shawen, Olivia Botonis, et al.
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Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
JMIR Rehabilitation and Assistive Technologies|August 12, 2017
Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific ModelsLuca Lonini, Aakash Gupta, Susan Deems-Dluhy, et al.
JMIR Mhealth and Uhealth|October 13, 2017
Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World ApplicationsNicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, et al.
Journal of Neuroengineering and Rehabilitation|May 3, 2024
Detecting the symptoms of Parkinson's disease with non-standard videoJoseph Mifsud, Kyle R Embry, Rebecca Macaluso, et al.
JMIR Mhealth and Uhealth|December 21, 2017
Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World ApplicationsNicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 12, 2021
Combining Accelerometer and GPS Features to Evaluate Community Mobility in Knee Ankle Foot Orthoses (KAFO) UsersLuca Lonini, Nicholas Shawen, Shenan Hoppe-Ludwig, et al.
Gigascience|March 23, 2017
Using and understanding cross-validation strategies. Perspectives on Saeb et alMax A Little, Gael Varoquaux, Sohrab Saeb, et al.
NPJ Digital Medicine|July 16, 2019
Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection modelsLuca Lonini, Andrew Dai, Nicholas Shawen, et al.
Journal of Neuroengineering and Rehabilitation|April 22, 2020
Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensorsNicholas Shawen, Megan K O'Brien, Sanjeev Venkatesan, et al.
IEEE Journal of Translational Engineering in Health and Medicine|March 5, 2021
Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot StudyLuca Lonini, Nicholas Shawen, Olivia Botonis, et al.
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