Table 3.
Least products regression for 6 devices in the back squat in comparison to 3D motion capture.
| Load (%) | R2 | Slope (95% CI) | Intercept (95% CI) | |||
|---|---|---|---|---|---|---|
| MV | PV | MV | PV | MV | PV | |
| Gymaware | ||||||
| 40 | 0.95 | 0.97 | 1.010 (0.824, 1.196) | 1.033 (0.896, 1.170) | −0.027 (−0.221, 0.167) | −0.042 (−0.263, 0.178) |
| 50 | 0.95 | 0.98 | 0.990 (0.808, 1.172) | 0.971 (0.866, 1.075) | −0.004 (−0.173, 0.166) | 0.054 (−0.100, 0.209) |
| 60 | 0.98 | 0.99 | 1.046 (0.931, 1.160) | 0.983 (0.908, 1.059) | −0.056 (−0.152, 0.040) | 0.031 (−0.073, 0.136) |
| 70 | 0.97 | 0.99 | 1.073 (0.917, 1.229) | 0.957 (0.870, 1.044) | −0.060 (−0.172, 0.052) | 0.067 (−0.040, 0.174) |
| 80 | 0.99 | 0.99 | 0.990 (0.892, 1.088) | 0.979 (0.885, 1.073) | −0.002 (−0.061, 0.058) | 0.040 (−0.064, 0.144) |
| 90 | 0.99 | 0.96 | 1.014 (0.943, 1.084) | 0.910 (0.761, 1.059) | −0.014 (−0.048, 0.020) | 0.110 (−0.040, 0.261) |
| 100 | 0.97 | 0.97 | 0.965 (0.826, 1.104) | 0.936 (0.813, 1.059) | −0.001 (−0.042, 0.039) | 0.066 (−0.043, 0.174) |
| Full | 0.99 | 0.99 | 0.991 (0.979, 1.004) | 0.970 (0.931, 1.009) | −0.005 (−0.014, 0.003) | 0.054 (−0.003, 0.110) |
| PUSH Body | ||||||
| 40 | 0.92 | 0.94 | 0.968 (0.730, 1.207) | 1.026 (0.819, 1.233) | 0.031 (−0.214, 0.275) | 0.051 (−0.265, 0.368) |
| 50 | 0.96 | 0.76 | 0.975 (0.816, 1.134) | 0.852 (0.459, 1.245) | 0.022 (−0.125. 0.168) | 0.291 (−0.261, 0.844) |
| 60 | 0.95 | 0.45 | 0.813 (0.659, 0.967) † | 0.648 (0.069, 1.227) | 0.160 (0.035, 0.285) * | 0.562 (−0.170, 1.294) |
| 70 | 0.88 | 0.60 | 0.842 (0.594, 1.090) | 0.723 (0.238, 1.208) | 0.128 (−0.043, 0.300) | 0.425 (−0.127, 0.976) |
| 80 | 0.92 | 0.37 | 0.746 (0.569, 0.922) † | 0.482 (−0.033, 0.997) † | 0.153 (0.048, 0.259) * | 0.638 (0.114, 1.162) * |
| 90 | 0.79 | 0.53 | 0.624 (0.365, 0.883) † | 0.912 (0.217, 1.607) | 0.173 (0.048, 0.298) * | 0.227 (−0.380, 0.835) |
| 100 | 0.58 | 0.48 | 0.790 (0.247, 1.333) | 1.320 (0.195, 2.445) | 0.004 (−0.184, 0.193) | −0.144 (−0.956, 0.727) |
| Full | 0.97 | 0.80 | 1.028 (0.984, 1.072) | 0.994 (0.918, 1.070) | −0.025 (−0.057, 0.007) | 0.133 (0.053, 0.213) |
| PUSH Bar | ||||||
| 40 | 0.69 | 0.91 | 1.224 (0.835, 1.613) | 1.185 (0.894, 1.476) | −0.326 (−0.755, 0.102) | −0.271 (−0.735, 0.193) |
| 50 | 0.95 | 0.89 | 1.000 (0.814, 1.186) | 1.063 (0.763, 1.362) | −0.062 (−0.245, 0.120) | −0.019 (−0.444, 0.405) |
| 60 | 0.83 | 0.84 | 0.757 (0.479, 1.036) | 0.881 (0.574, 1.188) | 0.143 (−0.106, 0.393) | 0.212 (−0.196, 0.621) |
| 70 | 0.84 | 0.80 | 1.082 (0.691, 1.473) | 1.091 (0.655, 1.528) | −0.135 (−0.440, 0.170) | −0.019 (−0.525, 0.487) |
| 80 | 0.87 | 0.60 | 0.745 (0.505, 0.985) † | 0.818 (0.271, 1.365) | 0.099 (−0.061, 0.259) | 0.267 (−0.308, 0.842) |
| 90 | 0.92 | 0.56 | 0.858 (0.657, 1.059) | 0.951 (0.257, 1.644) | 0.010 (−0.098, 0.118) | 0.128 (−0.525, 0.781) |
| 100 | 0.39 | 0.41 | 0.661 (−0.013, 1.335) | 0.890 (0.027, 1.752) | 0.023 (−0.236, 0.282) | 0.100 (−0.652, 0.851) |
| Full | 0.97 | 0.86 | 1.010 (0.969, 1.050) | 0.982 (0.888, 1.076) | −0.082 (−0.115, −0.050) * | 0.078 (−0.037, 0.193) |
| Bar Sensei | ||||||
| 40 | 0.82 | 0.96 | 0.702 (0.437, 0.968) † | 0.840 (0.051, 0.509) † | 0.352 (0.098, 0.607) * | 0.280 (0.051, 0.509) * |
| 50 | 0.75 | 0.93 | 0.599 (0.313, 0.885) † | 0.784 (0.605, 0.962) † | 0.394 (0.143, 0.645) * | 0.377 (0.123, 0.631) * |
| 60 | 0.67 | 0.82 | 0.660 (0.285, 1.035) | 0.968 (0.599, 1.336) | 0.303 (0.009, 0.597) * | 0.163 (−0.302, 0.628) |
| 70 | 0.86 | 0.66 | 0.778 (0.520, 1.035) | 0.825 (0.346, 1.303) | 0.188 (0.015, 0.361) * | 0.372 (−0.135, 0.880) |
| 80 | 0.66 | 0.52 | 0.871 (0.362, 1.380) | 0.680 (0.144, 1.217) | 0.121 (−0.156, 0.398) | 0.566 (0.120, 1.012) * |
| 90 | 0.23 | 0.10 | 0.309 (−0.147, 0.765) † | 0.332 (−0.470, 1.133) | 0.326 (0.112, 0.540) * | 0.777 (0.191, 1.362) * |
| 100 | 0.01 | 0.02 | 0.359 (−0.233, 0.950) † | 0.132 (−0.807, 0.171) † | 0.147 (−0.056, 0.349) | 0.737 (0.171, 1.303) * |
| Full | 0.87 | 0.80 | 1.028 (0.945, 1.111) | 0.712 (0.625, 0.799) † | 0.010 (−0.048, 0.068) | 0.485 (0.386, 0.583) * |
| Beast Sensor | ||||||
| 40 | 0.64 | 0.10 | 0.646 (0.250, 1.042) | 0.319 (−0.442, 1.080) | 0.354 (−0.058, 0.765) | 1.079 (−0.193, 2.351) |
| 50 | 0.71 | 0.12 | 0.719 (0.347, 1.091) | 0.470 (−0.590, 1.531) | 0.282 (−0.048, 0.612) | 0.763 (−0.849, 2.375) |
| 60 | 0.49 | 0.00 | 0.414 (0.067, 0.761) † | 0.038 (−0.857, 0.933) † | 0.511 (0.250, 0.771) * | 1.320 (0.100, 2.539) * |
| 70 | 0.46 | 0.00 | 0.499 (0.062, 0.936) † | −0.097 (−1.043, 0.848) † | 0.406 (0.139, 0.673) * | 1.353 (0.165, 2.541) * |
| 80 | 0.58 | 0.02 | 0.499 (0.154, 0.844) † | 0.345 (−1.716, 2.407) | 0.377 (0.224, 0.531) * | 0.742 (−1.716, 2.952) |
| 90 | 0.12 | 0.58 | 0.271 (−0.172, 0.713) † | 0.927 (0.281, 1.574) | 0.368 (0.199, 0.538) * | 0.273 (−0.252, 0.798) |
| 100 | 0.20 | 0.15 | 0.236 (−0.146, 0.619) † | 0.385 (−0.357, 1.127) | 0.188 (0.041, 0.335) * | 0.626 (0.141, 1.110) * |
| Full | 0.80 | 0.57 | 0.835 (0.736, 0.933) † | 0.622 (0.493, 0.751) † | 0.159 (0.092, 0.227) * | 0.506 (0.346, 0.667) * |
| MyLift | ||||||
| 40 | 0.96 | - | 1.161, (0.934, 1.388) | - | −0.142 (−0.370, 0.086) | - |
| 50 | 0.94 | - | 1.052 (0.833, 1.271) | - | −0.036 (−0.234, 0.163) | - |
| 60 | 0.88 | - | 0.847 (0.591, 1.104) | - | 0.133 (−0.075, 0.341) | - |
| 70 | 0.95 | - | 0.936 (0.768, 1.104) | - | 0.055 (−0.063, 0.173) | - |
| 80 | 0.93 | - | 0.884 (0.694, 1.074) | - | 0.070 (−0.043, 0.183) | - |
| 90 | 0.92 | - | 1.004 (0.766, 1.243) | - | 0.003 (−0.109, 0.114) | - |
| 100 | 0.85 | - | 1.004 (0.658, 1.351) | - | 0.001 (−0.096, 0.097) | - |
| Full | 0.99 | - | 1.017 (0.992, 1.042) | - | −0.003 (−0.021, 0.015) | - |
%, percentage of one repetition maximum; CI, confidence intervals; MV, mean velocity; PV, peak velocity. If the 95% confidence interval for the intercept does not include 0, then fixed bias is present (*); if the 95% confidence interval for the slope does not include 1, then proportional bias is present (†).