COBISS Co-operative Online Bibliographic system & services COBISS
Günter Schreier
Personal bibliography for the period 2016-2021
2016
1.
SCHREIER, Günter (editor),
eHealth 2016 Conference . Health informatics meets eHealth : predictive modeling in healthcare - from prediction
to prevention : proceedings of the 10th eHealth 2016 conference. Amsterdam; Berlin; Washington: IOS Press, cop. 2016. XII, 292 str., ilustr. Studies
in health technology and informatics (Online), vol. 223. ISBN 978-1-61499-644-6, ISBN
978-1-61499-645-3. ISSN 1879-8365. http://ebooks.iospress.nl/volume/health-informatics-meets-ehealth-predictive-modeling-in-healthcare-from-prediction-to-prevention-proceedings-of-the-10th-ehealth2016-conference. [COBISS.SI-ID 24435971]
2020
2.
ZIEGLER, Andreas, HAYN, Dieter, KASTNER, Peter, LÖFFLER, Kerstin, WEIDINGER, Lisa,
BRIX, Bianca, GOSWAMI, Nandu, SCHREIER, Günter. Machine learning based walking aid
detection in timed up-and-go test recordings of elderly patients. IEEE engineering in medicine and biology magazine, 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology
Society (EMBC). [Print ed.]. 2020, str. 808-811, ilustr. ISSN 0739-5175. https://pubmed.ncbi.nlm.nih.gov/33018108/, DOI: 10.1109/EMBC44109.2020.9176574. [COBISS.SI-ID 47250435]
3.
ZIEGLER, Andreas, HAYN, Dieter, KASTNER, Peter, LÖFFLER, Kerstin, WEIDINGER, Lisa,
BRIX, Bianca, GOSWAMI, Nandu, SCHREIER, Günter. Quantitative falls risk assessment
in elderly people: results from a clinical study with distance based timed up-and-go
test recordings. Physiological measurement. [Online ed.]. 2020, vol. 41, art. no. 115006, str. 1-11, ilustr. ISSN 1361-6579.
https://iopscience.iop.org/article/10.1088/1361-6579/abc352, DOI: 10.1088/1361-6579/abc352. [COBISS.SI-ID 47223555]
2021
4.
ZIEGL, Andreas, HAYN, Dieter, KASTNER, Peter, FABIANI, Ester, ŠIMUNIČ, Boštjan, LÖFFLER,
Kerstin, WEIDINGER, Lisa, BRIX, Bianca, GOSWAMI, Nandu, SCHREIER, Günter. Quantification
of the link between timed up-and-go test subtasks and contractile muscle properties.
Sensors. Oct. 2021, vol. 21, iss. 19, str. 1-12, ilustr. ISSN 1424-8220. https://www.mdpi.com/1424-8220/21/19/6539, https://doi.org/10.3390/s21196539, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.3390/s21196539. [COBISS.SI-ID 80043267]