Review Article
Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview
Table 1
Criteria for quality assessment of the internal validity (IV), statistical validity (SV), and external validity (EV).
| Criteria | Assessment property |
| Aim of the work | (1) | Description of a specific, clearly stated purpose | IV | (2) | The research question is scientifically relevant | EV | Inclusion criteria (selection bias) | (3) | Description of inclusion and exclusion criteria | IV-EV | (4) | Inclusion and exclusion criteria are the same for all tested groups | IV | (5) | Inclusion and exclusion criteria reflect the general population | EV | Data collection (performance bias) | (6) | Data collection is clearly described and reliable | IV-EV | (7) | Same data collection method used for all the athletes | IV | (8) | The used setup is wearable | EV | Data loss (attrition bias) | (9) | Different data loss between groups | IV | (10) | | EV | Outcome (detection bias) | (11) | Outcomes allow tangible application | EV | (12) | Outcomes are the same for all the athletes | IV | Data presentation | (13) | Frequencies of most important outcome measures | IV | (14) | Presentation of the data is sufficient to assess the adequacy of the analysis | IV | Statistical approach | (15) | Appropriate statistical analysis techniques | SV | (16) | Clearly state the statistical test used | SV | (17) | State and reference the analytical software used | SV | (18) | At least 10 subjects | SV |
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