Reliability and Validity of Running Step Rate Derived From a Novel Wearable Smart Patch
A novel, wearable, stretchable Smart Patch can monitor various aspects of physical activity, including the dynamics of running. However, like any new device developed for such applications, it must first be tested for validity and reliability. Here, we compare the step rate while running on a treadm...
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description | A novel, wearable, stretchable Smart Patch can monitor various aspects of physical activity, including the dynamics of running. However, like any new device developed for such applications, it must first be tested for validity and reliability. Here, we compare the step rate while running on a treadmill measured by this smart patch with the corresponding values obtained with the "gold standard" OptoGait, as well as with other devices commonly used to assess running dynamics, that is, the MEMS accelerometer and commercially available and widely used Garmin Running Dynamic Pod. The 14 healthy, physically active volunteers completed two identical sessions with a 5-min rest between. Each session involved two 1-min runs at 11 and 14 km/h separated by a 1-min rest. The major finding was that the Smart Patch demonstrated fair to good test-retest reliability. The best test-retest reliability for the Running Pod was observed in connection with running at 11 km/h and both velocities combined (good and excellent, respectively) and for the OptoGait when running at 14 km/h (good). The best concurrent validity was achieved with the Smart Patch, as reflected in the highest Pearson correlation coefficient for this device when running at 11 or 14 km/h, as well as for both velocities combined. In conclusion, this study demonstrates that the novel wearable Smart Patch shows promising reliability and excellent concurrent validity in measuring step rate during treadmill running, making it a viable tool for both research and practical applications in sports and exercise science. |
doi_str_mv | 10.1109/JSEN.2024.3370304 |
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However, like any new device developed for such applications, it must first be tested for validity and reliability. Here, we compare the step rate while running on a treadmill measured by this smart patch with the corresponding values obtained with the "gold standard" OptoGait, as well as with other devices commonly used to assess running dynamics, that is, the MEMS accelerometer and commercially available and widely used Garmin Running Dynamic Pod. The 14 healthy, physically active volunteers completed two identical sessions with a 5-min rest between. Each session involved two 1-min runs at 11 and 14 km/h separated by a 1-min rest. The major finding was that the Smart Patch demonstrated fair to good test-retest reliability. The best test-retest reliability for the Running Pod was observed in connection with running at 11 km/h and both velocities combined (good and excellent, respectively) and for the OptoGait when running at 14 km/h (good). The best concurrent validity was achieved with the Smart Patch, as reflected in the highest Pearson correlation coefficient for this device when running at 11 or 14 km/h, as well as for both velocities combined. In conclusion, this study demonstrates that the novel wearable Smart Patch shows promising reliability and excellent concurrent validity in measuring step rate during treadmill running, making it a viable tool for both research and practical applications in sports and exercise science.</description><identifier>ISSN: 1530-437X</identifier><identifier>ISSN: 1558-1748</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2024.3370304</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accelerometers ; Centre - Centre for Sports and Performance Technology (SPORTC) ; Centrumbildning - Centrum för idrotts- och prestationsteknologi (SPORTC) ; Correlation coefficients ; Fitness equipment ; Fysioterapi ; Garmin Running Pod ; Intelligent sensors ; Medicin och hälsovetenskap ; MEMS accelerometers ; Microelectromechanical systems ; Micromechanical devices ; OptoGait ; Physiotherapy ; Reliability ; Running ; Sensors ; Skin ; Smart Patch ; Sports ; treadmill ; Treadmills ; Validity ; Wearable technology</subject><ispartof>IEEE sensors journal, 2024, Vol.24 (9), p.14343-14351</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c490t-76f9d0ee59c21ae53a7e0a0848d7c0211d7a081334d7ee23f12185c3f05f95c93</cites><orcidid>0000-0002-3814-6246 ; 0000-0002-4951-3638 ; 0009-0002-4519-4585 ; 0000-0002-7231-7002 ; 0000-0003-2744-1634</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10458918$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,780,784,796,885,4024,27923,27924,27925,54758</link.rule.ids><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-104866$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-50908$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-532265$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:158390104$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Verdel, Nina</creatorcontrib><creatorcontrib>Drobnic, Miha</creatorcontrib><creatorcontrib>Maslik, Jan</creatorcontrib><creatorcontrib>Gumiero, Alessandro</creatorcontrib><creatorcontrib>Hjort, Klas</creatorcontrib><creatorcontrib>Holmberg, Hans-Christer</creatorcontrib><creatorcontrib>Supej, Matej</creatorcontrib><title>Reliability and Validity of Running Step Rate Derived From a Novel Wearable Smart Patch</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>A novel, wearable, stretchable Smart Patch can monitor various aspects of physical activity, including the dynamics of running. However, like any new device developed for such applications, it must first be tested for validity and reliability. Here, we compare the step rate while running on a treadmill measured by this smart patch with the corresponding values obtained with the "gold standard" OptoGait, as well as with other devices commonly used to assess running dynamics, that is, the MEMS accelerometer and commercially available and widely used Garmin Running Dynamic Pod. The 14 healthy, physically active volunteers completed two identical sessions with a 5-min rest between. Each session involved two 1-min runs at 11 and 14 km/h separated by a 1-min rest. The major finding was that the Smart Patch demonstrated fair to good test-retest reliability. The best test-retest reliability for the Running Pod was observed in connection with running at 11 km/h and both velocities combined (good and excellent, respectively) and for the OptoGait when running at 14 km/h (good). The best concurrent validity was achieved with the Smart Patch, as reflected in the highest Pearson correlation coefficient for this device when running at 11 or 14 km/h, as well as for both velocities combined. In conclusion, this study demonstrates that the novel wearable Smart Patch shows promising reliability and excellent concurrent validity in measuring step rate during treadmill running, making it a viable tool for both research and practical applications in sports and exercise science.</description><subject>Accelerometers</subject><subject>Centre - Centre for Sports and Performance Technology (SPORTC)</subject><subject>Centrumbildning - Centrum för idrotts- och prestationsteknologi (SPORTC)</subject><subject>Correlation coefficients</subject><subject>Fitness equipment</subject><subject>Fysioterapi</subject><subject>Garmin Running Pod</subject><subject>Intelligent sensors</subject><subject>Medicin och hälsovetenskap</subject><subject>MEMS accelerometers</subject><subject>Microelectromechanical systems</subject><subject>Micromechanical devices</subject><subject>OptoGait</subject><subject>Physiotherapy</subject><subject>Reliability</subject><subject>Running</subject><subject>Sensors</subject><subject>Skin</subject><subject>Smart Patch</subject><subject>Sports</subject><subject>treadmill</subject><subject>Treadmills</subject><subject>Validity</subject><subject>Wearable technology</subject><issn>1530-437X</issn><issn>1558-1748</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>D8T</sourceid><recordid>eNqNkltP3DAQhSMEErf-ACQeLPWVbGdie20_Ii69aEXRbgu8Wd5kQg3ZZHESqv33dbRb6AuoT56xvjM6Y58kOUIYIYL59G12cTXKIBMjzhVwEFvJHkqpU1RCbw81h1Rwdbeb7LftAwAaJdVecjulyru5r3y3Yq4u2I2rfDE0TcmmfV37-p7NOlqyqeuInVPwz1Swy9AsmGNXzTNV7JZccPOK2GzhQseuXZf_Okx2Sle19GFzHiQ_Ly9-nH1JJ98_fz07naS5MNClalyaAoikyTN0JLlTBA600IXKIUMsVOyQc1EoooyXmKGWOS9Blkbmhh8k6Xpu-5uW_dwug48mVrZx3m6uHmNFVkuQQkXevMkvQ1O8iv4KUWpuAEFE7cmb2nN_c2qbcG_73kqeZWP5rrUXfOH72kowoP-Pr7reRi96PI78xzUffT_11Hb2oelDHV_bxv83wkQTw8K4pvLQtG2g8mUugh2iY4fo2CE6dhOdqDleazwR_cMLqQ1q_gdEZ8Bx</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Verdel, Nina</creator><creator>Drobnic, Miha</creator><creator>Maslik, Jan</creator><creator>Gumiero, Alessandro</creator><creator>Hjort, Klas</creator><creator>Holmberg, Hans-Christer</creator><creator>Supej, Matej</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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However, like any new device developed for such applications, it must first be tested for validity and reliability. Here, we compare the step rate while running on a treadmill measured by this smart patch with the corresponding values obtained with the "gold standard" OptoGait, as well as with other devices commonly used to assess running dynamics, that is, the MEMS accelerometer and commercially available and widely used Garmin Running Dynamic Pod. The 14 healthy, physically active volunteers completed two identical sessions with a 5-min rest between. Each session involved two 1-min runs at 11 and 14 km/h separated by a 1-min rest. The major finding was that the Smart Patch demonstrated fair to good test-retest reliability. The best test-retest reliability for the Running Pod was observed in connection with running at 11 km/h and both velocities combined (good and excellent, respectively) and for the OptoGait when running at 14 km/h (good). The best concurrent validity was achieved with the Smart Patch, as reflected in the highest Pearson correlation coefficient for this device when running at 11 or 14 km/h, as well as for both velocities combined. In conclusion, this study demonstrates that the novel wearable Smart Patch shows promising reliability and excellent concurrent validity in measuring step rate during treadmill running, making it a viable tool for both research and practical applications in sports and exercise science.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSEN.2024.3370304</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3814-6246</orcidid><orcidid>https://orcid.org/0000-0002-4951-3638</orcidid><orcidid>https://orcid.org/0009-0002-4519-4585</orcidid><orcidid>https://orcid.org/0000-0002-7231-7002</orcidid><orcidid>https://orcid.org/0000-0003-2744-1634</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accelerometers Centre - Centre for Sports and Performance Technology (SPORTC) Centrumbildning - Centrum för idrotts- och prestationsteknologi (SPORTC) Correlation coefficients Fitness equipment Fysioterapi Garmin Running Pod Intelligent sensors Medicin och hälsovetenskap MEMS accelerometers Microelectromechanical systems Micromechanical devices OptoGait Physiotherapy Reliability Running Sensors Skin Smart Patch Sports treadmill Treadmills Validity Wearable technology |
title | Reliability and Validity of Running Step Rate Derived From a Novel Wearable Smart Patch |
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