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)....

Full description

Saved in:
Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 22; no. 7; p. 2583
Main Authors Chen, Wei-Han, Chiang, Chun-Wei, Fiolo, Nicholas J., Fuchs, Philip X., Shiang, Tzyy-Yuang
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 28.03.2022
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
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.
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
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35408199$$D View this record in MEDLINE/PubMed
BookMark eNptkstuUzEQho9QEb3AghdAltjA4rS-nYs3SCUUGqkVSC1ry8ceF0cndmo7iDwE74w5KVFasbL1zzf_zNhzXB344KGqXhN8ypjAZ4lS3NGmZ8-qI8Ipr_siHOzdD6vjlBYYU8ZY_6I6ZA3HPRHiqPo9N6BGNAvLwXmVXfAJBYvOtYYR4iTUH1UCg-Y-g08ub9A15Oh0QsobdFO0ENG3UCJTcg7oOniXi3jxC6J2CfZS195ARJ-ctRDBZ3S7WcFU8GYVYk4vq-dWjQlePZwn1ffPF7ezy_rq65f57Pyq1kyIXA9UsE6wpsPakq4xWsCgO6UYNrbXghNrbNF6pm2JNZaSocEdN61puabQsJNqvvU1QS3kKrqlihsZlJOTEOKdVDE7PYLUVDNjwPRdyzkDIkohYrWCnmKCKS5eH7Zeq_WwBKPLWFGNj0wfR7z7Ie_CTykwZrwVxeDdg0EM92tIWS5dKs8_Kg9hnSRtuWgE4YwU9O0TdBHW0ZenmijM-xb3hXqz39GulX-_XoD3W0DHkFIEu0MIln83Su42qrBnT1jt8rQXZRg3_ifjD-wVz4M
CitedBy_id crossref_primary_10_3390_s23063350
crossref_primary_10_1002_VIW_20220027
crossref_primary_10_3390_bioengineering10040498
crossref_primary_10_3390_s23115073
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
ContentType Journal Article
Copyright 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2022 by the authors. 2022
Copyright_xml – notice: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2022 by the authors. 2022
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7X7
7XB
88E
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
FYUFA
GHDGH
K9.
M0S
M1P
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
7X8
5PM
DOA
DOI 10.3390/s22072583
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Health & Medical Complete (Alumni)
ProQuest Health & Medical Collection
PML(ProQuest Medical Library)
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Central
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Health & Medical Research Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
Publicly Available Content Database

MEDLINE
CrossRef
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1424-8220
ExternalDocumentID oai_doaj_org_article_c2c3dded876443e19c7a1fcae8201020
PMC9003469
35408199
10_3390_s22072583
Genre Journal Article
GeographicLocations Taiwan
GeographicLocations_xml – name: Taiwan
GrantInformation_xml – fundername: Ministry of Education in Taiwan
  grantid: Higher Education Sprout Project
GroupedDBID ---
123
2WC
53G
5VS
7X7
88E
8FE
8FG
8FI
8FJ
AADQD
AAHBH
AAYXX
ABDBF
ABUWG
ACUHS
ADBBV
ADMLS
AENEX
AFKRA
AFZYC
ALIPV
ALMA_UNASSIGNED_HOLDINGS
BENPR
BPHCQ
BVXVI
CCPQU
CITATION
CS3
D1I
DU5
E3Z
EBD
ESX
F5P
FYUFA
GROUPED_DOAJ
GX1
HH5
HMCUK
HYE
IAO
ITC
KQ8
L6V
M1P
M48
MODMG
M~E
OK1
OVT
P2P
P62
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RNS
RPM
TUS
UKHRP
XSB
~8M
3V.
ABJCF
ARAPS
CGR
CUY
CVF
ECM
EIF
HCIFZ
KB.
M7S
NPM
PDBOC
7XB
8FK
AZQEC
DWQXO
K9.
PJZUB
PKEHL
PPXIY
PQEST
PQUKI
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c399t-b293793570cf175dc9ebc7aa30df8c941fdfc9e83cfdc95f21b5074d6d64c2e53
IEDL.DBID M48
ISSN 1424-8220
IngestDate Wed Aug 27 01:31:55 EDT 2025
Thu Aug 21 18:33:32 EDT 2025
Fri Jul 11 06:55:15 EDT 2025
Fri Jul 25 20:40:33 EDT 2025
Wed Feb 19 02:26:41 EST 2025
Thu Apr 24 22:57:25 EDT 2025
Tue Jul 01 02:41:49 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 7
Keywords running
acceleration
team sports
racquet sports
wearable electronic devices
Language English
License https://creativecommons.org/licenses/by/4.0
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c399t-b293793570cf175dc9ebc7aa30df8c941fdfc9e83cfdc95f21b5074d6d64c2e53
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0003-1744-7020
0000-0002-7463-8301
0000-0002-4742-587X
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.3390/s22072583
PMID 35408199
PQID 2649048608
PQPubID 2032333
ParticipantIDs doaj_primary_oai_doaj_org_article_c2c3dded876443e19c7a1fcae8201020
pubmedcentral_primary_oai_pubmedcentral_nih_gov_9003469
proquest_miscellaneous_2649591431
proquest_journals_2649048608
pubmed_primary_35408199
crossref_primary_10_3390_s22072583
crossref_citationtrail_10_3390_s22072583
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20220328
PublicationDateYYYYMMDD 2022-03-28
PublicationDate_xml – month: 3
  year: 2022
  text: 20220328
  day: 28
PublicationDecade 2020
PublicationPlace Switzerland
PublicationPlace_xml – name: Switzerland
– name: Basel
PublicationTitle Sensors (Basel, Switzerland)
PublicationTitleAlternate Sensors (Basel)
PublicationYear 2022
Publisher MDPI AG
MDPI
Publisher_xml – name: MDPI AG
– name: MDPI
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
SSID ssj0023338
Score 2.3758364
Snippet This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs)...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 2583
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
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Na9wwEB1CTs2h9CNp3aRBKT3kYmJLsmUdkzYhKSQU2kBuRh5JtFDssusc8iP6nzuytGa3BHLpbZFkVtbM87yR5TcAH50vJNYlAUlULpeNUXmnvcqlNkq5zlKMC4ni9U19eSu_3FV3a6W-wpmwKA8cF-4EOQqCoCXUSilcqVGZ0qNxIXQR1wlPX4p5q2QqpVqCMq-oIyQoqT9Zcl4oXjViI_pMIv2PMct_D0iuRZyLF_A8UUV2Gqf4ErZc_wp21gQEX8OfK0tEjxGoKcGNe29s8OwUkaJJtG1-RnHKsnRUfXxg16GGFi6Z6S37Rm3Dgn1dndxi48AiyhfsPBVjWrs0fHC2YJ9TTZWRhSR2-sOpVvpyF24vzr9_usxTgYUciZeMeUexnvBZqQI90QiL2nW0vEYU1jeoZemtp7ZGoKe-yvOyI_oobW1ridxVYg-2-6F3b4EVRkj0HdI1Kkiy6aI2kn76suNSKZ_B8WrhW0zq46EIxq-WspBgo3a2UQYf5qG_o-TGY4POgvXmAUEle2og32mT77RP-U4GByvbtwm6y5YYop5KczUZHM3dBLrwJsX0briPYypNVLPM4E10lXkmYSONaJbOQG040cZUN3v6nz8mYe-wqyxr_e5_3Ns-POPhS41C5Lw5gO1xce_eE38au8MJKn8BbUcdRQ
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3Pb9UwDI5gXOAw8ZvCQAFx4BKtTdKmOaENNg2kISSY9G5V6yQDCbVb2x34I_ifsdu87j00cauSVE3rOP7suP4Ye-tDqqHIUJFU7oUuayMaG4zQtjbGNw5tHDmKp1-KkzP9eZWvYsBtiGmV6z1x2qhdBxQj30fDbSfGpPL9xaUg1ig6XY0UGrfZHSpdRildZnXtcCn0v-ZqQgpd-_1BytTIvFRbNmgq1X8Tvvw3TXLD7hzfZ7sRMPKDWcIP2C3fPmT3NsoIPmJ_PjmEexxVG93cOQLHu8APANCmzBIWh2itHI8J6-NvfkpMWjDwunX8G7Z1Pf-6zt_iY8dnXe_5UaRk2riVfjvr-cfIrDJycmWnB06M6cNjdnZ89P3DiYg0CwIQnYyiQYuPWpqbFAKCCQfWN2DqWqUulGB1FlzAtlJBwL48yKxBEKld4QoN0ufqCdtpu9Y_YzytlYbQAN5jqDCbTYta42XIGqmNCQl7t_7wFcQa5ESF8atCX4RkVC0yStibZejFXHjjpkGHJL1lANXKnhq6_ryKqleBBIWbuMN9X2vlM4svlwWoPYEfRMsJ21vLvooKPFTXyy1hr5duVD06T6lb313NY3KLgDNL2NN5qSwzoXAagi2bMLO1iLamut3T_vwxlfem2LIu7PP_T-sFuyvpT4xUCVnusZ2xv_IvER-NzatJCf4CkqYUeA
  priority: 102
  providerName: ProQuest
Title Ideal Combinations of Acceleration-Based Intensity Metrics and Sensor Positions to Monitor Exercise Intensity under Different Types of Sports
URI https://www.ncbi.nlm.nih.gov/pubmed/35408199
https://www.proquest.com/docview/2649048608
https://www.proquest.com/docview/2649591431
https://pubmed.ncbi.nlm.nih.gov/PMC9003469
https://doaj.org/article/c2c3dded876443e19c7a1fcae8201020
Volume 22
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV1bj5QwFD7ZS2LWB-N1RddJNT74gkJbKDwYs6Mzriaz2aiTzBspvajJBpRhE_dH-J89pYAzZnwhpD0wDKeH851Svg_gubERV2mMgcQSE_JMirDMrQh5LoUwpcYc5wrFxXl6tuQfV8lqDwaNzf4GrneWdk5Patlcvvz18_oNBvxrV3Fiyf5qTWkkaJKxfTjEhCRcfC74-DKBMizDPKnQtvkR3HCzHpknfv2blTry_l2I89-FkxuZaH4bbvUQkpx6n9-BPVPdhZsbxIL34PcHjQCQYLBj4evn5EhtyalSmGW8z8Mp5i9N-iXs7TVZOG0ttSay0uQzttUNuRhWdJG2Jj76GzLrRZo2DnUfojXkXa-10hJX3HY_2Gmor-_Dcj778vYs7IUXQoV4pQ1LxAAYt4mIlEV4oVVuSiWkZJG2mcp5bLXFtowpi32JpXGJsJLrVKdcUZOwB3BQ1ZV5CCSSjCtbKjxGOKq2PEolx10bl5QLYQN4Mdz4QvWs5E4c47LA6sS5qxjdFcCz0fSHp-LYZTR13hsNHHt211A3X4s-GAtFFcPHusZMwDkzcY5_LrZKGgeHED8HcDL4vhhGZIHIMe8ku7IAno7dGIzuDYusTH3lbZIcIWgcwLEfKuOVDEMtALE1iLYudbun-v6tI_x2s808zR_995yP4Yi6zzIiFtLsBA7a5so8QbDUlhPYFyuB22z-fgKH09n5xadJN_Ew6YLkD-DVGhE
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB5V5QAcEO-mFDAIJC5RE9uJ4wNCLW21S7sVEq20t5D4AUhVUnZTof4I_gq_kZk8truo4tZbZDuKk3l8M449H8Ab5yNp0hgNSSQulFmhwlJ7FUpdKOVKixhHieLkOB2dyk_TZLoGf4azMLStcvCJraO2taE18m0Ebt0yJmUfzn-GxBpFf1cHCo1OLQ7d5S9M2ebvx3so37ecH-yffByFPatAaBCMm7BEgEOlTFRkPGKnNdqVRhWFiKzPjJaxtx7bMmE89iWexyXGTNKmNpWGO2KJQJd_C4E3IotS06sET2C-11UvEkJH23POI8WTTKxgXksNcF08---2zCWcO7gP9_oAle10GvUA1lz1EO4ulS18BL_HFsNLhq4E0-puxY_Vnu0YgxjWaVS4i-hoWb9BvrlkE2LuMnNWVJZ9wbZ6xj4P-8VYU7POt8zYfk8BtXQrHXObsb2eyaVhlDq3D2wZ2ueP4fRGBPAE1qu6chvAokJI40uD9ygqBKejtJB46eOSS6V8AO-GD5-bvuY5UW-c5Zj7kIzyhYwCeL0Yet4V-rhu0C5JbzGAanO3DfXsW96bem64EQgaFnFGSuFijS8Xe1M4CrYwOg9ga5B93juMeX6l3gG8WnSjqdP_m6Jy9UU3JtEY4MYBPO1UZTETWr7D4E4HoFaUaGWqqz3Vj-9tOXFay5ap3vz_tF7C7dHJ5Cg_Gh8fPoM7nE6BRCLk2RasN7ML9xxjs6Z80RoEg683bYF_Aa4bUtM
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB5VRUJwQLwJFDAIJC7RJrYTxweEWrarLqVVJai0t5D4AZWqpOymQv0R_CF-HTN5bHdRxa23yHYUJ_P4Zhx7PoA3zkfSpDEakkhcKLNChaX2KpS6UMqVFjGOEsWDw3TvWH6aJbMN-DOchaFtlYNPbB21rQ2tkY8QuHXLmJSNfL8t4mg8-XD2MyQGKfrTOtBpdCqy7y5-Yfq2eD8do6zfcj7Z_fpxL-wZBkKDwNyEJYIdKmiiIuMRR63RrjSqKERkfWa0jL312JYJ47Ev8TwuMX6SNrWpNNwRYwS6_xsKX4hsTM0ukz2BuV9XyUgIHY0WnEeKJ5lYw7-WJuCq2PbfLZormDe5C3f6YJVtd9p1DzZcdR9ur5QwfAC_pxZDTYZuBVPsbvWP1Z5tG4N41mlXuINIaVm_Wb65YAfE4mUWrKgs-4Jt9ZwdDXvHWFOzzs_M2W5PB7VyKx15m7Nxz-rSMEqj2we2bO2Lh3B8LQJ4BJtVXbknwKJCSONLg_coKgqno7SQeOnjkkulfADvhg-fm77-OdFwnOaYB5GM8qWMAni9HHrWFf24atAOSW85gOp0tw31_Hvem31uuBEIIBYxR0rhYo0vF3tTOAq8MFIPYGuQfd47j0V-qeoBvFp2o9nTv5yicvV5NybRGOzGATzuVGU5E1rKw0BPB6DWlGhtqus91cmPtrQ4rWvLVD_9_7Rewk20vfzz9HD_GdzidCAkEiHPtmCzmZ-75ximNeWL1h4YfLtuA_wLEsZXCQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Ideal+Combinations+of+Acceleration-Based+Intensity+Metrics+and+Sensor+Positions+to+Monitor+Exercise+Intensity+under+Different+Types+of+Sports&rft.jtitle=Sensors+%28Basel%2C+Switzerland%29&rft.au=Chen%2C+Wei-Han&rft.au=Chiang%2C+Chun-Wei&rft.au=Fiolo%2C+Nicholas+J&rft.au=Fuchs%2C+Philip+X&rft.date=2022-03-28&rft.eissn=1424-8220&rft.volume=22&rft.issue=7&rft_id=info:doi/10.3390%2Fs22072583&rft_id=info%3Apmid%2F35408199&rft.externalDocID=35408199
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1424-8220&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1424-8220&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1424-8220&client=summon