Cite
University of Valparaiso Researcher Discusses Research in Applied Sciences (Fall Risk Classification Using Trunk Movement Patterns from Inertial Measurement Units and Mini-BESTest in Community-Dwelling Older Adults: A Deep Learning Approach)
MLA
“University of Valparaiso Researcher Discusses Research in Applied Sciences (Fall Risk Classification Using Trunk Movement Patterns from Inertial Measurement Units and Mini-BESTest in Community-Dwelling Older Adults: A Deep Learning Approach).” Science Letter, 1 Nov. 2024, p. 1349. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsggo&AN=edsgcl.813798832&authtype=sso&custid=ns315887.
APA
University of Valparaiso Researcher Discusses Research in Applied Sciences (Fall Risk Classification Using Trunk Movement Patterns from Inertial Measurement Units and Mini-BESTest in Community-Dwelling Older Adults: A Deep Learning Approach). (2024, November 1). Science Letter, 1349.
Chicago
Science Letter. 2024. “University of Valparaiso Researcher Discusses Research in Applied Sciences (Fall Risk Classification Using Trunk Movement Patterns from Inertial Measurement Units and Mini-BESTest in Community-Dwelling Older Adults: A Deep Learning Approach),” November 1. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsggo&AN=edsgcl.813798832&authtype=sso&custid=ns315887.