Literature DB >> 32727078

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.

Hamid Khodakarami1, Lucia Ricciardi2, Maria Fiorella Contarino3,4, Rajesh Pahwa5, Kelly E Lyons5, Victor J Geraedts3, Francesca Morgante2,6, Alison Leake2, Dominic Paviour2, Andrea De Angelis2, Malcolm Horne7,8.   

Abstract

The authors wish to make the following erratum to this paper [...].

Entities:  

Year:  2020        PMID: 32727078      PMCID: PMC7435905          DOI: 10.3390/s20154167

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


The authors wish to make the following erratum to this paper [1]: Due to the mislabeling of the horizontal axis in Figure 4, i.e., 0 and 1 being reversed, replace the current Figure 4 (below). with the Figure 4 below with the correct horizontal axis labeling. This change does not affect the scientific results. The manuscript will be updated and the original version will remain online on the article webpage, with a reference to this erratum. The authors would like to apologize for any inconvenience caused to the readers by this change.
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1.  Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn Sensor.

Authors:  Hamid Khodakarami; Lucia Ricciardi; Maria Fiorella Contarino; Rajesh Pahwa; Kelly E Lyons; Victor J Geraedts; Francesca Morgante; Alison Leake; Dominic Paviour; Andrea De Angelis; Malcolm Horne
Journal:  Sensors (Basel)       Date:  2019-11-25       Impact factor: 3.576

  1 in total

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