絞り込み

17791

広告

Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit.

著者 Ramkumar PN , Haeberle HS , Navarro SM , Sultan AA , Mont MA , Ricchetti ET , Schickendantz MS , Iannotti JP
J Shoulder Elbow Surg.2018 Mar 07 ; ():.
この記事をPubMed上で見るPubMedで表示
この記事をGoogle翻訳上で見る Google翻訳で開く

スターを付ける スターを付ける     (10view , 0users)

Full Text Sources

Mobile technology offers the prospect of delivering high-value care with increased patient access and reduced costs. Advances in mobile health (mHealth) and telemedicine have been inhibited by the lack of interconnectivity between devices and software and inability to process consumer sensor data. The objective of this study was to preliminarily validate a motion-based machine learning software development kit (SDK) for the shoulder compared with a goniometer for 4 arcs of motion: (1) abduction, (2) forward flexion, (3) internal rotation, and (4) external rotation.
PMID: 29525490 [PubMed - as supplied by publisher]
印刷用ページを開く Endnote用テキストダウンロード