1,606
10
Essay, 1 pages (200 words)

Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals

A Corrigendum on

by Hu, B., Rouse, E., and Hargrove, L. (2018) Front. Robot. AI 5: 14. doi:

In the original article, there were two errors. In the text, the abbreviation for semitendinosus was omitted. In the text, the URL to the data repository available on Figshare was also incorrect.

Corrections have been made to Materials and Methods, Sub-section Instrumentation Setup, Paragraph one and Results, Paragraph one.

EMG signals were recorded using bipolar surface electrodes (DE2. 1; Delsys, Boston, MA, USA) from the same seven muscles in each leg: tibialis anterior (TA), medial gastrocnemius (MG), soleus (SOL), vastus lateralis (VL), rectus femoris (RF), biceps femoris (BF), and semitendinosus (ST).

The data are saved in CSV format in subject-specific folders and are available to download from Figshare at .

The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Thank's for Your Vote!
Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals. Page 1
Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals. Page 2
Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals. Page 3

This work, titled "Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals" was written and willingly shared by a fellow student. This sample can be utilized as a research and reference resource to aid in the writing of your own work. Any use of the work that does not include an appropriate citation is banned.

If you are the owner of this work and don’t want it to be published on AssignBuster, request its removal.

Request Removal
Cite this Essay

References

AssignBuster. (2021) 'Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals'. 19 December.

Reference

AssignBuster. (2021, December 19). Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals. Retrieved from https://assignbuster.com/corrigendum-benchmark-datasets-for-bilateral-lower-limb-neuromechanical-signals-from-wearable-sensors-during-unassisted-locomotion-in-able-bodied-individuals/

References

AssignBuster. 2021. "Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals." December 19, 2021. https://assignbuster.com/corrigendum-benchmark-datasets-for-bilateral-lower-limb-neuromechanical-signals-from-wearable-sensors-during-unassisted-locomotion-in-able-bodied-individuals/.

1. AssignBuster. "Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals." December 19, 2021. https://assignbuster.com/corrigendum-benchmark-datasets-for-bilateral-lower-limb-neuromechanical-signals-from-wearable-sensors-during-unassisted-locomotion-in-able-bodied-individuals/.


Bibliography


AssignBuster. "Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals." December 19, 2021. https://assignbuster.com/corrigendum-benchmark-datasets-for-bilateral-lower-limb-neuromechanical-signals-from-wearable-sensors-during-unassisted-locomotion-in-able-bodied-individuals/.

Work Cited

"Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals." AssignBuster, 19 Dec. 2021, assignbuster.com/corrigendum-benchmark-datasets-for-bilateral-lower-limb-neuromechanical-signals-from-wearable-sensors-during-unassisted-locomotion-in-able-bodied-individuals/.

Get in Touch

Please, let us know if you have any ideas on improving Corrigendum: benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals, or our service. We will be happy to hear what you think: [email protected]