{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T10:46:09Z","timestamp":1648896369977},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T00:00:00Z","timestamp":1642118400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,14]]},"abstract":"<jats:p>Frailty is one of the major problems associated with an aging society. Therefore, frailty assessment tools which support early detection and autonomous monitoring of the frailty status are heavily needed. One of the most used tests for functional assessment of the elderly is the \u201cTimed Up-and-Go\u201d test. In previous projects, we have developed an ultrasound-based device that enables performing the test autonomously. This paper described the development and validation of algorithms for detection of subtasks (stand up, walk, turn around, walk, sit down) and for step frequency estimation from the Timed Up-and-Go signals. The algorithms have been tested with an annotated test set recorded in 8 healthy subjects. The mean error for the developed subtask transition detection algorithms was in between 0.22 and 0.35 s. The mean step frequency error was 0.15 Hz. Future steps will include prospective evaluation of the algorithms with elderly people.<\/jats:p>","DOI":"10.3233\/shti210935","type":"book-chapter","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:56:55Z","timestamp":1642435015000},"source":"Crossref","is-referenced-by-count":0,"title":["Development of Algorithms for Automated Timed Up-and-Go Test Subtask and Step Frequency Analysis"],"prefix":"10.3233","author":[{"given":"Ane","family":"Diz Felipe","sequence":"first","affiliation":[{"name":"AIT Austrian Institute of Technology GmbH, Graz, Austria"},{"name":"Graz University of Technology, Austria"},{"name":"Universidad Polit\u00e9cnica de Madrid, Spain"}]},{"given":"Andreas","family":"Ziegl","sequence":"additional","affiliation":[{"name":"AIT Austrian Institute of Technology GmbH, Graz, Austria"},{"name":"Graz University of Technology, Austria"}]},{"given":"Dieter","family":"Hayn","sequence":"additional","affiliation":[{"name":"AIT Austrian Institute of Technology GmbH, Graz, Austria"},{"name":"Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria"}]},{"given":"G\u00fcnter","family":"Schreier","sequence":"additional","affiliation":[{"name":"AIT Austrian Institute of Technology GmbH, Graz, Austria"},{"name":"Graz University of Technology, Austria"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Informatics and Technology in Clinical Care and Public Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:56:56Z","timestamp":1642435016000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210935"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210935","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,14]]}}}