Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance
Countermovement jump (CMJ) performance analysis is vital in sports science for assessing lower-body strength and neuromuscular efficiency. This study evaluated the validity of the Enode Sensor and My Jump 3 App for measuring vertical jump heights, comparing them to those measured using the establish...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/24/11989 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850042522306347008 |
|---|---|
| author | Davor Puljić Christos Karavas Athanasios Mandroukas Andreas Stafylidis |
| author_facet | Davor Puljić Christos Karavas Athanasios Mandroukas Andreas Stafylidis |
| author_sort | Davor Puljić |
| collection | DOAJ |
| description | Countermovement jump (CMJ) performance analysis is vital in sports science for assessing lower-body strength and neuromuscular efficiency. This study evaluated the validity of the Enode Sensor and My Jump 3 App for measuring vertical jump heights, comparing them to those measured using the established Force Plate. Twenty-nine participants performed CMJs measured using each device. Descriptive statistics indicated mean jump heights of 48.4 ± 4.18 cm (for the Enode Sensor), 47.3 ± 4.05 cm (for My Jump 3), and 46.1 ± 4.03 cm (for the Force Plate). Reliability was confirmed via Intraclass Correlation Coefficients (ICCs), with the Enode Sensor at 0.914 and My Jump 3 at 0.968, demonstrating excellent reliability. Bland–Altman analysis showed mean biases of 2.281 cm (for the Enode Sensor) and 1.297 cm (for My Jump 3) against the Force Plate, with limits of agreement suggesting close alignment. Strong positive correlations were observed (for the Enode Sensor, r = 0.972 and for My Jump 3, r = 0.987; <i>p</i> < 0.001), and linear regression analysis produced R<sup>2</sup> values of 0.945 and 0.973, respectively, confirming both tools’ accuracy for vertical jump measurement. These findings indicate that although both tools are suitable for CMJ assessment, My Jump 3 demonstrated slightly superior accuracy, underscoring the potential for accessible, reliable performance monitoring in sports contexts. |
| format | Article |
| id | doaj-art-ed02b248a1f849e59fa9b9a745f04044 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-ed02b248a1f849e59fa9b9a745f040442025-08-20T02:55:31ZengMDPI AGApplied Sciences2076-34172024-12-0114241198910.3390/app142411989Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump PerformanceDavor Puljić0Christos Karavas1Athanasios Mandroukas2Andreas Stafylidis3Mediterranean College, Greece—In Partnership with University of Wolverhampton, Wolverhampton WV1 1LY, UKMediterranean College, Greece—In Partnership with University of Wolverhampton, Wolverhampton WV1 1LY, UKMediterranean College, Greece—In Partnership with University of Wolverhampton, Wolverhampton WV1 1LY, UKMediterranean College, Greece—In Partnership with University of Wolverhampton, Wolverhampton WV1 1LY, UKCountermovement jump (CMJ) performance analysis is vital in sports science for assessing lower-body strength and neuromuscular efficiency. This study evaluated the validity of the Enode Sensor and My Jump 3 App for measuring vertical jump heights, comparing them to those measured using the established Force Plate. Twenty-nine participants performed CMJs measured using each device. Descriptive statistics indicated mean jump heights of 48.4 ± 4.18 cm (for the Enode Sensor), 47.3 ± 4.05 cm (for My Jump 3), and 46.1 ± 4.03 cm (for the Force Plate). Reliability was confirmed via Intraclass Correlation Coefficients (ICCs), with the Enode Sensor at 0.914 and My Jump 3 at 0.968, demonstrating excellent reliability. Bland–Altman analysis showed mean biases of 2.281 cm (for the Enode Sensor) and 1.297 cm (for My Jump 3) against the Force Plate, with limits of agreement suggesting close alignment. Strong positive correlations were observed (for the Enode Sensor, r = 0.972 and for My Jump 3, r = 0.987; <i>p</i> < 0.001), and linear regression analysis produced R<sup>2</sup> values of 0.945 and 0.973, respectively, confirming both tools’ accuracy for vertical jump measurement. These findings indicate that although both tools are suitable for CMJ assessment, My Jump 3 demonstrated slightly superior accuracy, underscoring the potential for accessible, reliable performance monitoring in sports contexts.https://www.mdpi.com/2076-3417/14/24/11989CMJexplosive lower-body power testmeasurement accuracywearablesvideo-based assessment toolforce platform |
| spellingShingle | Davor Puljić Christos Karavas Athanasios Mandroukas Andreas Stafylidis Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance Applied Sciences CMJ explosive lower-body power test measurement accuracy wearables video-based assessment tool force platform |
| title | Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance |
| title_full | Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance |
| title_fullStr | Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance |
| title_full_unstemmed | Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance |
| title_short | Validity of the Enode Sensor and My Jump 3 App for Assessing Countermovement Jump Performance |
| title_sort | validity of the enode sensor and my jump 3 app for assessing countermovement jump performance |
| topic | CMJ explosive lower-body power test measurement accuracy wearables video-based assessment tool force platform |
| url | https://www.mdpi.com/2076-3417/14/24/11989 |
| work_keys_str_mv | AT davorpuljic validityoftheenodesensorandmyjump3appforassessingcountermovementjumpperformance AT christoskaravas validityoftheenodesensorandmyjump3appforassessingcountermovementjumpperformance AT athanasiosmandroukas validityoftheenodesensorandmyjump3appforassessingcountermovementjumpperformance AT andreasstafylidis validityoftheenodesensorandmyjump3appforassessingcountermovementjumpperformance |