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Hamid Khodakarami

Showing results (1-10 of 8) with videos related to

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Journal of Neuroengineering and Rehabilitation|July 17, 2021
A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson's disease using an ambulatory monitorHamid Khodakarami, Navid Shokouhi, Malcolm Horne
Sensors (Basel, Switzerland)|May 18, 2019
The Use of Data from the Parkinson's KinetiGraph to Identify Potential Candidates for Device Assisted TherapiesHamid Khodakarami, Parisa Farzanehfar, Malcolm Horne
Optics Letters|September 9, 2016
Duobinary pulse shaping for frequency chirp enabled complex modulationDi Che, Feng Yuan, Hamid Khodakarami, et al.
Frontiers in Aging Neuroscience|July 5, 2022
Accuracy of Step Count Estimations in Parkinson's Disease Can Be Predicted Using Ambulatory MonitoringNavid Shokouhi, Hamid Khodakarami, Chathurini Fernando, et al.
NPJ Digital Medicine|October 17, 2023
Application of single wrist-wearable accelerometry for objective motor diary assessment in fluctuating Parkinson's diseaseMatthias Löhle, Jonathan Timpka, Alexander Bremer, et al.
NPJ Parkinson'S Disease|January 23, 2018
The use of accelerometry as a tool to measure disturbed nocturnal sleep in Parkinson's diseaseSarah McGregor, Philip Churchward, Katarzyna Soja, et al.
Sensors (Basel, Switzerland)|November 29, 2019
Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn SensorHamid Khodakarami, Lucia Ricciardi, Maria Fiorella Contarino, et al.
Sensors (Basel, Switzerland)|July 31, 2020
Khodakarami, H., et al., Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn Sensor. <i>Sensors</i> 2019, <i>19</i>, 5153Hamid Khodakarami, Lucia Ricciardi, Maria Fiorella Contarino, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Neuroengineering and Rehabilitation|July 17, 2021
A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson's disease using an ambulatory monitorHamid Khodakarami, Navid Shokouhi, Malcolm Horne
Sensors (Basel, Switzerland)|May 18, 2019
The Use of Data from the Parkinson's KinetiGraph to Identify Potential Candidates for Device Assisted TherapiesHamid Khodakarami, Parisa Farzanehfar, Malcolm Horne
Optics Letters|September 9, 2016
Duobinary pulse shaping for frequency chirp enabled complex modulationDi Che, Feng Yuan, Hamid Khodakarami, et al.
Frontiers in Aging Neuroscience|July 5, 2022
Accuracy of Step Count Estimations in Parkinson's Disease Can Be Predicted Using Ambulatory MonitoringNavid Shokouhi, Hamid Khodakarami, Chathurini Fernando, et al.
NPJ Digital Medicine|October 17, 2023
Application of single wrist-wearable accelerometry for objective motor diary assessment in fluctuating Parkinson's diseaseMatthias Löhle, Jonathan Timpka, Alexander Bremer, et al.
NPJ Parkinson'S Disease|January 23, 2018
The use of accelerometry as a tool to measure disturbed nocturnal sleep in Parkinson's diseaseSarah McGregor, Philip Churchward, Katarzyna Soja, et al.
Sensors (Basel, Switzerland)|November 29, 2019
Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn SensorHamid Khodakarami, Lucia Ricciardi, Maria Fiorella Contarino, et al.
Sensors (Basel, Switzerland)|July 31, 2020
Khodakarami, H., et al., Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn Sensor. <i>Sensors</i> 2019, <i>19</i>, 5153Hamid Khodakarami, Lucia Ricciardi, Maria Fiorella Contarino, et al.
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