Hamid Khodakarami - Search Results

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Page 1

Khodakarami, H., et al., Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn Sensor. Sensors 2019, 19, 5153.

Khodakarami H, Ricciardi L, Contarino MF, Pahwa R, Lyons KE, Geraedts VJ, Morgante F, Leake A, Paviour D, De Angelis A, Horne M. Khodakarami H, et al. Sensors (Basel). 2020 Jul 27;20(15):4167. doi: 10.3390/s20154167. Sensors (Basel). 2020. PMID: 32727078 Free PMC article.

A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson's disease using an ambulatory monitor.

Khodakarami H, Shokouhi N, Horne M. Khodakarami H, et al. J Neuroeng Rehabil. 2021 Jul 16;18(1):116. doi: 10.1186/s12984-021-00905-4. J Neuroeng Rehabil. 2021. PMID: 34271971 Free PMC article.

Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn Sensor.

Khodakarami H, Ricciardi L, Contarino MF, Pahwa R, Lyons KE, Geraedts VJ, Morgante F, Leake A, Paviour D, De Angelis A, Horne M. Khodakarami H, et al. Sensors (Basel). 2019 Nov 25;19(23):5153. doi: 10.3390/s19235153. Sensors (Basel). 2019. PMID: 31775289 Free PMC article.

The use of accelerometry as a tool to measure disturbed nocturnal sleep in Parkinson's disease.

McGregor S, Churchward P, Soja K, O'Driscoll D, Braybrook M, Khodakarami H, Evans A, Farzanehfar P, Hamilton G, Horne M. McGregor S, et al. Among authors: khodakarami h. NPJ Parkinsons Dis. 2018 Jan 10;4:1. doi: 10.1038/s41531-017-0038-9. eCollection 2018. NPJ Parkinsons Dis. 2018. PMID: 29354683 Free PMC article.

The Use of Data from the Parkinson's KinetiGraph to Identify Potential Candidates for Device Assisted Therapies.

Khodakarami H, Farzanehfar P, Horne M. Khodakarami H, et al. Sensors (Basel). 2019 May 15;19(10):2241. doi: 10.3390/s19102241. Sensors (Basel). 2019. PMID: 31096576 Free PMC article.

Duobinary pulse shaping for frequency chirp enabled complex modulation.

Che D, Yuan F, Khodakarami H, Shieh W. Che D, et al. Among authors: khodakarami h. Opt Lett. 2016 Sep 1;41(17):3968-71. doi: 10.1364/OL.41.003968. Opt Lett. 2016. PMID: 27607949

Accuracy of Step Count Estimations in Parkinson's Disease Can Be Predicted Using Ambulatory Monitoring.

Shokouhi N, Khodakarami H, Fernando C, Osborn S, Horne M. Shokouhi N, et al. Among authors: khodakarami h. Front Aging Neurosci. 2022 Jun 16;14:904895. doi: 10.3389/fnagi.2022.904895. eCollection 2022. Front Aging Neurosci. 2022. PMID: 35783129 Free PMC article.

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