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. 2020 Jul 27;20(15):4167. doi: 10.3390/s20154167

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 Khodakarami 1, Lucia Ricciardi 2, Maria Fiorella Contarino 3,4, Rajesh Pahwa 5, Kelly E Lyons 5, Victor J Geraedts 3, Francesca Morgante 2,6, Alison Leake 2, Dominic Paviour 2, Andrea De Angelis 2, Malcolm Horne 7,8,*
PMCID: PMC7435905  PMID: 32727078

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).

graphic file with name sensors-20-04167-i001.jpg

with the Figure 4 below with the correct horizontal axis labeling.

graphic file with name sensors-20-04167-i002.jpg

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.

References

  • 1.Khodakarami H., Ricciardi L., Contarino M.F., Pahwa R., Lyons K.E., Geraedts V.J., Morgante F., Leake A., Paviour D., De Angelis A., et al. Prediction of the Levodopa Challenge Test in Parkinson’s Disease Using Data from a Wrist-Worn Sensor. Sensors. 2019;19:5153. doi: 10.3390/s19235153. [DOI] [PMC free article] [PubMed] [Google Scholar]

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