OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI.

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Title: OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI.
Authors: Schmoll, Martin1 (AUTHOR) martin.schmoll@meduniwien.ac.at, Le Guillou, Ronan1 (AUTHOR), Fattal, Charles2 (AUTHOR), Coste, Christine Azevedo1 (AUTHOR)
Source: Journal of NeuroEngineering & Rehabilitation (JNER). 4/14/2022, Vol. 19 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+NeuroEngineering+%26+Rehabilitation+%28JNER%29%22">Journal of NeuroEngineering & Rehabilitation (JNER)</searchLink>. 4/14/2022, Vol. 19 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=156375383
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      – Type: doi
        Value: 10.1186/s12984-022-01018-2
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      – Code: eng
        Text: English
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      – TitleFull: OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI.
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            NameFull: Le Guillou, Ronan
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            NameFull: Fattal, Charles
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              Text: 4/14/2022
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              Y: 2022
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