Entropy-Based Analysis of Rowing Technique: Stroke-Rate Effects and Performance Implications.
Purpose: The study aimed to (1) investigate the influence of different stroke rates on movement variability (MV), defined as normal variations in repeated motions, and (2) explore the relationship between MV and rowing performance. Methods: Twenty-one elite male rowers (24.3 [3.1] y, 192.6 [5.6] cm,...
| Publicado en: | International Journal of Sports Physiology & Performance Vol. 21; no. 4; pp. 539 - 546 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Human Kinetics Publishers, Inc.
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192558994&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192558994 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15550265 16IB jtl: International Journal of Sports Physiology & Performance issn: 15550265 maglogo: N pubinfo: dt: Apr2026 vid: 21 iid: 4 pid: 553 pub: Human Kinetics Publishers, Inc. place: Champaign, Illinois artinfo: ui: 192558994 192558994 192558994 10.1123/ijspp.2025-0289 192558994 ppf: 539 ppct: 7 formats: tig: atl: Entropy-Based Analysis of Rowing Technique: Stroke-Rate Effects and Performance Implications. aug: au: Gao, Yang Wei, Xiaobin Chen, Xiaoping affil: School of Strength and Conditioning Training, Beijing Sport University, Beijing, BJ, China sug: subj: Rowing Physiology Task Performance and Analysis Athletic Performance Movement Physiology Human Models, Theoretical Male Athletes, Elite Athletes, Male Psychosocial Factors Ergometry Data Analysis Software Wearable Sensors Funding Source Adult One-Way Analysis of Variance Pearson's Correlation Coefficient Adult: 19-44 years Male ab: Purpose: The study aimed to (1) investigate the influence of different stroke rates on movement variability (MV), defined as normal variations in repeated motions, and (2) explore the relationship between MV and rowing performance. Methods: Twenty-one elite male rowers (24.3 [3.1] y, 192.6 [5.6] cm, 90.7 [11.5] kg) performed 90-second submaximal intensity rowing bouts at 20, 26, and 34 strokes per minute (spm) on a static ergometer. Acceleration and joint angles collected from inertial sensors were used to measure MV through Sample Entropy. A 2000-m time trial was conducted to assess rowing performance. Results: Stroke rate significantly increased the SD of stroke power (P =.001, η p 2 =.198) and Sample Entropy value of handle acceleration (P <.001, η p 2 =.407), hip (P <.001, η p 2 =.733), knee (P <.001, η p 2 =.806), ankle (P <.001, η p 2 =.716), and elbow (P <.001, η p 2 =.759) joint angles. Across all stroke rates, the hip consistently exhibited higher Sample Entropy than knee, ankle, and elbow. Greater variability in handle acceleration at 20 spm (r = −.626, P =.002) and 26 spm (r = −.581, P =.006), knee angle at 20 spm (r = −.531, P =.013), and elbow angle at 20 spm (r =.511, P =.021) correlated with better ergometer performance. Conclusions: Stroke rate plays a key role in modulating MV and technique in elite rowers, with higher stroke rate requiring more movement adaptation to maintain stroke power. Entropy measures may serve as a valuable tool for practitioners to assess and optimize rowing performance. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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