Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol

Sarah Gregory; Nicklas Linz; Alexandra König; Kai Langel; Hannah Pullen; Saturnino Luz; John Harrison; Craig W Ritchie

doi:10.1136/bmjopen-2021-052250

Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol

Sarah Gregory, Nicklas Linz, Alexandra König, Kai Langel, Hannah Pullen, Saturnino Luz, John Harrison, Craig W Ritchie

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	e052250
Journal	BMJ Open
Volume	12
Issue number	3
Early online date	15 Mar 2022
DOIs	https://doi.org/10.1136/bmjopen-2021-052250
Publication status	E-pub ahead of print - 15 Mar 2022

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10.1136/bmjopen-2021-052250

e052250.fullFinal published version, 476 KBLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2021-052250

Cite this

Gregory, S., Linz, N., König, A., Langel, K., Pullen, H., Luz, S., Harrison, J., & Ritchie, C. W. (2022). Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol. BMJ Open, 12(3), e052250. Advance online publication. https://doi.org/10.1136/bmjopen-2021-052250

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title = "Remote data collection speech analysis and prediction of the identification of Alzheimer{\textquoteright}s disease biomarkers in people at risk for Alzheimer{\textquoteright}s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol",

author = "Sarah Gregory and Nicklas Linz and Alexandra K{\"o}nig and Kai Langel and Hannah Pullen and Saturnino Luz and John Harrison and Ritchie, \{Craig W\}",

note = "Funding Information: Funding This work is supported by Janssen Pharmaceutica NV through a Publisher Copyright: {\textcopyright} 2022 Authors",

year = "2022",

month = mar,

day = "15",

doi = "10.1136/bmjopen-2021-052250",

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Gregory, S, Linz, N, König, A, Langel, K, Pullen, H, Luz, S, Harrison, J & Ritchie, CW 2022, 'Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol', BMJ Open, vol. 12, no. 3, pp. e052250. https://doi.org/10.1136/bmjopen-2021-052250

Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol. / Gregory, Sarah; Linz, Nicklas; König, Alexandra et al.
In: BMJ Open, Vol. 12, No. 3, 15.03.2022, p. e052250.

Research output: Contribution to journal › Article › peer-review

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AU - Gregory, Sarah

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AU - Langel, Kai

AU - Pullen, Hannah

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AU - Harrison, John

AU - Ritchie, Craig W

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Gregory S, Linz N, König A, Langel K, Pullen H, Luz S et al. Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol. BMJ Open. 2022 Mar 15;12(3):e052250. Epub 2022 Mar 15. doi: 10.1136/bmjopen-2021-052250