Ideal Combinations of Acceleration-Based Intensity Metrics and Sensor Positions to Monitor Exercise Intensity under Different Types of Sports
This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds)....
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Published in | Sensors (Basel, Switzerland) Vol. 22; no. 7; p. 2583 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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28.03.2022
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Abstract | This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations (r = 0.777–0.778) with %HRR; while other combinations were negligible to moderate (r = 0.065–0.451). For basketball, both AIMs at the shank had stronger correlations (r = 0.604–0.628) with %HRR than at wrist (r = 0.536–0.603) and trunk (r = 0.403–0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations (r = 0.782–0.793) with %HRR than those at wrist (r = 0.587–0.621) and MAD at trunk (r = 0.608) and trunk (r = 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination. |
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AbstractList | This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations (
r
= 0.777–0.778) with %HRR; while other combinations were negligible to moderate (
r
= 0.065–0.451). For basketball, both AIMs at the shank had stronger correlations (
r
= 0.604–0.628) with %HRR than at wrist (
r
= 0.536–0.603) and trunk (
r
= 0.403–0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations (
r
= 0.782–0.793) with %HRR than those at wrist (
r
= 0.587–0.621) and MAD at trunk (
r
= 0.608) and trunk (
r
= 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination. This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations (r = 0.777–0.778) with %HRR; while other combinations were negligible to moderate (r = 0.065–0.451). For basketball, both AIMs at the shank had stronger correlations (r = 0.604–0.628) with %HRR than at wrist (r = 0.536–0.603) and trunk (r = 0.403–0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations (r = 0.782–0.793) with %HRR than those at wrist (r = 0.587–0.621) and MAD at trunk (r = 0.608) and trunk (r = 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination. This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations ( = 0.777-0.778) with %HRR; while other combinations were negligible to moderate ( = 0.065-0.451). For basketball, both AIMs at the shank had stronger correlations ( = 0.604-0.628) with %HRR than at wrist ( = 0.536-0.603) and trunk ( = 0.403-0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations ( = 0.782-0.793) with %HRR than those at wrist ( = 0.587-0.621) and MAD at trunk ( = 0.608) and trunk ( = 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination. This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations (r = 0.777-0.778) with %HRR; while other combinations were negligible to moderate (r = 0.065-0.451). For basketball, both AIMs at the shank had stronger correlations (r = 0.604-0.628) with %HRR than at wrist (r = 0.536-0.603) and trunk (r = 0.403-0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations (r = 0.782-0.793) with %HRR than those at wrist (r = 0.587-0.621) and MAD at trunk (r = 0.608) and trunk (r = 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination.This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations (r = 0.777-0.778) with %HRR; while other combinations were negligible to moderate (r = 0.065-0.451). For basketball, both AIMs at the shank had stronger correlations (r = 0.604-0.628) with %HRR than at wrist (r = 0.536-0.603) and trunk (r = 0.403-0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations (r = 0.782-0.793) with %HRR than those at wrist (r = 0.587-0.621) and MAD at trunk (r = 0.608) and trunk (r = 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination. |
Author | Chiang, Chun-Wei Fuchs, Philip X. Shiang, Tzyy-Yuang Chen, Wei-Han Fiolo, Nicholas J. |
AuthorAffiliation | 3 Department of Sport and Exercise Science, University of Salzburg, 5400 Salzburg, Austria 1 Department of Athletic Performance, National Taiwan Normal University, Taipei City 106, Taiwan; gn01800083@gmail.com (W.-H.C.); jack30815@gmail.com (C.-W.C.); nicholas.j.fiolo@ntnu.edu.tw (N.J.F.); philip.fuchs@ntnu.edu.tw (P.X.F.) 2 Graduate Institute of Sports Equipment Technology, University of Taipei, Taipei City 111036, Taiwan |
AuthorAffiliation_xml | – name: 2 Graduate Institute of Sports Equipment Technology, University of Taipei, Taipei City 111036, Taiwan – name: 3 Department of Sport and Exercise Science, University of Salzburg, 5400 Salzburg, Austria – name: 1 Department of Athletic Performance, National Taiwan Normal University, Taipei City 106, Taiwan; gn01800083@gmail.com (W.-H.C.); jack30815@gmail.com (C.-W.C.); nicholas.j.fiolo@ntnu.edu.tw (N.J.F.); philip.fuchs@ntnu.edu.tw (P.X.F.) |
Author_xml | – sequence: 1 givenname: Wei-Han orcidid: 0000-0002-4742-587X surname: Chen fullname: Chen, Wei-Han – sequence: 2 givenname: Chun-Wei surname: Chiang fullname: Chiang, Chun-Wei – sequence: 3 givenname: Nicholas J. orcidid: 0000-0003-1744-7020 surname: Fiolo fullname: Fiolo, Nicholas J. – sequence: 4 givenname: Philip X. orcidid: 0000-0002-7463-8301 surname: Fuchs fullname: Fuchs, Philip X. – sequence: 5 givenname: Tzyy-Yuang surname: Shiang fullname: Shiang, Tzyy-Yuang |
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Cites_doi | 10.1249/MSS.0b013e3182399e5b 10.1519/JSC.0000000000001063 10.1519/JSC.0000000000002291 10.1136/bjsports-2016-096191 10.1016/j.jsams.2010.07.008 10.1213/ANE.0000000000002864 10.1186/s13102-015-0010-0 10.1249/MSS.0b013e3181c301f5 10.1371/journal.pone.0164045 10.1097/00005768-200009001-00008 10.2478/hukin-2019-0072 10.1123/ijspp.2016-0726 10.1123/ijspp.5.1.75 10.1249/MSS.0b013e3181824d98 10.1080/02640410903428533 10.1080/02640414.2019.1680083 10.1080/00913847.2018.1520054 10.1249/FIT.0000000000000526 10.1016/j.jsams.2013.01.007 10.1111/cpf.12127 10.1123/ijspp.2013-0418 10.1371/journal.pone.0134813 10.1123/ijspp.8.6.623 10.1249/FIT.0000000000000631 10.1007/s40279-014-0253-z 10.1123/ijspp.6.3.311 10.1249/FIT.0000000000000438 10.1109/JBHI.2016.2608720 |
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References | Edwardson (ref_27) 2010; 42 Berkelmans (ref_10) 2018; 32 Aschendorf (ref_11) 2019; 47 Barrett (ref_18) 2014; 9 Mcclain (ref_28) 2008; 40 Welk (ref_6) 2000; 32 Schober (ref_30) 2018; 126 Dalen (ref_17) 2016; 30 Klusemann (ref_25) 2013; 8 Weiss (ref_31) 2017; 12 Heishman (ref_9) 2020; 19 Chen (ref_26) 2020; 38 Thompson (ref_3) 2021; 25 Thompson (ref_2) 2019; 23 Matthews (ref_22) 2012; 44 Quarrie (ref_16) 2017; 51 Chen (ref_4) 2016; 20 Thompson (ref_1) 2018; 22 ref_23 ref_21 Bredt (ref_14) 2020; 71 ref_20 Boyd (ref_12) 2011; 6 Vasankari (ref_19) 2015; 35 Farinatti (ref_7) 2011; 14 Kuntze (ref_24) 2010; 28 Halson (ref_5) 2014; 44 Roy (ref_29) 2015; 8 Montgomery (ref_15) 2010; 5 ref_8 Gastin (ref_13) 2013; 16 |
References_xml | – volume: 44 start-page: S68 year: 2012 ident: ref_22 article-title: Best practices for using physical activity monitors in population-based research publication-title: Med. Sci. Sports Exerc. doi: 10.1249/MSS.0b013e3182399e5b – volume: 30 start-page: 351 year: 2016 ident: ref_17 article-title: Player load, acceleration, and deceleration during forty-five competitive matches of elite soccer publication-title: J. Strength Cond Res. doi: 10.1519/JSC.0000000000001063 – volume: 32 start-page: 3177 year: 2018 ident: ref_10 article-title: Influence of different methods to determine maximum heart rate on training load outcomes in basketball players publication-title: J. Strength Cond Res. doi: 10.1519/JSC.0000000000002291 – volume: 51 start-page: 421 year: 2017 ident: ref_16 article-title: Managing player load in professional rugby union: A review of current knowledge and practices publication-title: Br. J. Sports Med. doi: 10.1136/bjsports-2016-096191 – volume: 14 start-page: 46 year: 2011 ident: ref_7 article-title: Methodological and practical application issues in exercise prescription using the heart rate reserve and oxygen uptake reserve methods publication-title: J. Sci. Med. Sport doi: 10.1016/j.jsams.2010.07.008 – volume: 126 start-page: 1763 year: 2018 ident: ref_30 article-title: Correlation coefficients: Appropriate use and interpretation publication-title: Anesth. Analg. doi: 10.1213/ANE.0000000000002864 – ident: ref_23 doi: 10.1186/s13102-015-0010-0 – volume: 42 start-page: 928 year: 2010 ident: ref_27 article-title: Epoch length and its effect on physical activity intensity publication-title: Med. Sci. Sports Exerc. doi: 10.1249/MSS.0b013e3181c301f5 – volume: 19 start-page: 204 year: 2020 ident: ref_9 article-title: Monitoring external training loads and neuromuscular performance for division I basketball players over the preseason publication-title: J. Sports Sci. Med. – ident: ref_21 doi: 10.1371/journal.pone.0164045 – volume: 32 start-page: S489 year: 2000 ident: ref_6 article-title: A comparative evaluation of three accelerometry-based physical activity monitors publication-title: Med. Sci. Sports Exerc. doi: 10.1097/00005768-200009001-00008 – volume: 71 start-page: 5 year: 2020 ident: ref_14 article-title: Understanding player load: Meanings and limitations publication-title: J. Hum. Kinet doi: 10.2478/hukin-2019-0072 – volume: 12 start-page: 1238 year: 2017 ident: ref_31 article-title: The relationship between training load and injury in men’s professional basketball publication-title: Int. J. Sports Physiol. Perform. doi: 10.1123/ijspp.2016-0726 – volume: 5 start-page: 75 year: 2010 ident: ref_15 article-title: The physical and physiological demands of basketball training and competition publication-title: Int. J. Sports Physiol. Perform. doi: 10.1123/ijspp.5.1.75 – volume: 40 start-page: 2080 year: 2008 ident: ref_28 article-title: Epoch length and accelerometer outputs in children: Comparison to direct observation publication-title: Med. Sci. Sports Exerc. doi: 10.1249/MSS.0b013e3181824d98 – volume: 28 start-page: 183 year: 2010 ident: ref_24 article-title: A biomechanical analysis of common lunge tasks in badminton publication-title: J. Sports Sci. doi: 10.1080/02640410903428533 – volume: 38 start-page: 62 year: 2020 ident: ref_26 article-title: Determining motions with an IMU during level walking and slope and stair walking publication-title: J. Sports Sci. doi: 10.1080/02640414.2019.1680083 – ident: ref_8 – volume: 47 start-page: 65 year: 2019 ident: ref_11 article-title: Effects of basketball-specific high-intensity interval training on aerobic performance and physical capacities in youth female basketball players publication-title: Phys. Sportsmed. doi: 10.1080/00913847.2018.1520054 – volume: 8 start-page: 318 year: 2015 ident: ref_29 article-title: Validation of maximal heart rate prediction equations based on sex and physical activity status publication-title: Int. J. Exerc. Sci. – volume: 23 start-page: 10 year: 2019 ident: ref_2 article-title: Worldwide survey of fitness trends for 2020 publication-title: ACSMs Health Fit. J. doi: 10.1249/FIT.0000000000000526 – volume: 16 start-page: 589 year: 2013 ident: ref_13 article-title: Quantification of tackling demands in professional Australian football using integrated wearable athlete tracking technology publication-title: J. Sci. Med. Sport doi: 10.1016/j.jsams.2013.01.007 – volume: 35 start-page: 64 year: 2015 ident: ref_19 article-title: A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer publication-title: Clin. Physiol. Funct. Imaging doi: 10.1111/cpf.12127 – volume: 9 start-page: 945 year: 2014 ident: ref_18 article-title: PlayerLoad™: Reliability, convergent validity, and influence of unit position during treadmill running publication-title: Int. J. Sports Physiol. Perform. doi: 10.1123/ijspp.2013-0418 – ident: ref_20 doi: 10.1371/journal.pone.0134813 – volume: 8 start-page: 623 year: 2013 ident: ref_25 article-title: Activity profiles and demands of seasonal and tournament basketball competition publication-title: Int. J. Sports Physiol. Perform. doi: 10.1123/ijspp.8.6.623 – volume: 25 start-page: 10 year: 2021 ident: ref_3 article-title: Worldwide survey of fitness trends for 2021 publication-title: ACSM Health Fit. J. doi: 10.1249/FIT.0000000000000631 – volume: 44 start-page: 139 year: 2014 ident: ref_5 article-title: Monitoring training load to understand fatigue in athletes publication-title: Sports Med. doi: 10.1007/s40279-014-0253-z – volume: 6 start-page: 311 year: 2011 ident: ref_12 article-title: The reliability of MinimaxX accelerometers for measuring physical activity in Australian football publication-title: Int. J. Sports Physiol. Perform. doi: 10.1123/ijspp.6.3.311 – volume: 22 start-page: 10 year: 2018 ident: ref_1 article-title: Worldwide survey of fitness trends for 2019 publication-title: ACSMs Health Fit. J. doi: 10.1249/FIT.0000000000000438 – volume: 20 start-page: 1521 year: 2016 ident: ref_4 article-title: Toward pervasive gait analysis with wearable sensors: A systematic review publication-title: IEEE J. Biomed. Health Inform. doi: 10.1109/JBHI.2016.2608720 |
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SubjectTerms | Acceleration Accelerometers Adult Badminton Basketball Benchmarking Data collection Exercise Exercise intensity Fitness equipment Heart Rate Humans Physical fitness racquet sports Racquet Sports - physiology Running Running - physiology Sensors team sports Wearable computers wearable electronic devices Young Adult |
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Title | Ideal Combinations of Acceleration-Based Intensity Metrics and Sensor Positions to Monitor Exercise Intensity under Different Types of Sports |
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