The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The SIESTA project polygraphic and clinical database
Abstract
The SIESTA project had two major goals: developing new tools for analyzing computer-based sleep recordings and creating a reference database for sleep-related features. Basically, both goals have been reached, although validation and fine tuning of the sleep analyzer is still on-going. Investigations on the Web interface will be finished soon and a documentation of the database (including a CD-ROM with all test forms and all clinical, psychometric and actigraphic data as well as all R&K-scorings) will be published. Besides its scientific impact, the SIESTA project also emphasizes two other important aspects: the need of national and international cooperation between different experts and disciplines and the importance of standardized methods in scientific and clinical research.
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Citations
Cites
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
A self-rating depression scale
ZUNG, W. W. K. (1965) · Archives of General Psychiatry · doi:10.1001/archpsyc.1965.01720310065008 · Cited by 9,813 · cited 1×
“This included a standardized questionnaire for the documentation of life events and demographic data [29], a personality inventory [30], self-rating scales for anxiety and depression [31, 32], a quality-of-life questionnaire [33], a self-efficacy scale [34], and a sleep quality inventory [35].”
Method
Cited by
Network physiology reveals relations between network topology and physiological function
Bashan, A., Bartsch, R. P., Kantelhardt, J. W., Havlin, S., & Ivanov, P. C. (2012) · Nature Communications · doi:10.1038/ncomms1705 · Cited by 721
DANKER‐HOPFE, H., ANDERER, P., ZEITLHOFER, J., BOECK, M., DORN, H., GRUBER, G., HELLER, E., LORETZ, E., MOSER, D., PARAPATICS, S., et al. (2009) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2008.00700.x · Cited by 417
Self-citationPhase transitions in physiologic coupling
Bartsch, R. P., Schumann, A. Y., Kantelhardt, J. W., Penzel, T., & Ivanov, P. C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1204568109 · Cited by 254
Self-citationSleep stage classification from heart-rate variability using long short-term memory neural networks
Radha, M., Fonseca, P., Moreau, A., Ross, M., Cerny, A., Anderer, P., Long, X., & Aarts, R. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-49703-y · Cited by 186
Automatic Human Sleep Stage Scoring Using Deep Neural Networks
Malafeev, A., Laptev, D., Bauer, S., Omlin, X., Wierzbicka, A., Wichniak, A., Jernajczyk, W., Riener, R., Buhmann, J., & Achermann, P. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00781 · Cited by 151
Metadata
- Authors
- Klosh, G., Kemp, B., Penzel, T., Schlogl, A., Rappelsberger, P., Trenker, E., Gruber, G., Zeithofer, J., Saletu, B., Herrmann, W. M., Himanen, S. L., Kunz, D., Barbanoj, M. J., Roschke, J., Varri, A., & Dorffner, G.
- Venue
- IEEE Engineering in Medicine and Biology Magazine
- Published
- 2001
- Volume
- 20
- Issue
- 3
- Pages
- 51-57
- ISSN
- 0739-5175 (ISSN-L)
- OpenAlex
- W2156921267
- Cited by
- 187
- References
- 2
- FWCI
- 8.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The SIESTA project polygraphic and clinical database. https://app.cochat.ai/papers/10.1109/51.932725
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- Klosh, G., Kemp, B., Penzel, T., Schlogl, A., Rappelsberger, P., Trenker, E., Gruber, G., Zeithofer, J., Saletu, B., Herrmann, W. M., Himanen, S. L., Kunz, D., Barbanoj, M. J., Roschke, J., Varri, A., & Dorffner, G. (2001). The SIESTA project polygraphic and clinical database. IEEE Engineering in Medicine and Biology Magazine. https://doi.org/10.1109/51.932725
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
