Table 1.
Characteristics of the articles accepted after full-text screening.
| Authors | Technology | Version | Subjects 1 | Age (Years) | Condition | Quality |
|---|---|---|---|---|---|---|
| Coni et al. (2019) | Triaxial accelerometers | 5STS | 304 (53.6%) | 80.9 ± 6.4 | Fallers | 6 |
| Doheny et al. (2011) | Triaxial accelerometers | 5STS | 40 (60%) | 71.4 ± 7.3 | Fallers | 6 |
| Doheny et al. (2013) | Triaxial accelerometers | 5STS | 39 (59%) | Fallers: 74.9 ± 7.0 | Fallers | 7 |
| Non-fallers: 68.4 ± 6.2 | ||||||
| Ejupi et al. (2016) | Kinect sensor | 5STS | 94 (70.2%) | 79.7 ± 6.4 | Fallers | 9 |
| Greene et al. (2014) | IMU | 5STS | 124 (73.4%) | Non-frail: 73.7 ± 6.0 | Frailty, Fallers | 8 |
| Frail: 77.8 ± 6.4 | ||||||
| Fallers: 76.0 ± 6.2 | ||||||
| Non-fallers: 75.8 ± 6.8 | ||||||
| Houck et al. (2011) | Force plates in a chair | 3STS | 28 (71.4%) | Control: 69.4 ± 10.9 | Fallers | 9 |
| Hip fracture: 76.4 ± 7.1 | ||||||
| Jung et al. (2019) | Load cells in a chair and laser | 5STS | 40 (62.5%) | 74.3 ± 5.4 | Frailty | 9 |
| Millor et al. (2013) | IMU | 30STS | 47 (44.7%) | Frail: 85 ± 5 | Frailty | 6 |
| Prefrail: 78 ± 3 | ||||||
| Robust: 54 ± 6 | ||||||
| Millor et al. (2014) | IMU | 30STS | 431 (N/S) | Frail: 79 ± 6 | Frailty | 5 |
| Pre-frail: 73 ± 5 | ||||||
| Robust: 74 ± 5 | ||||||
| Millor et al. (2017) | IMU | 30STS | 431 (N/S) | Frail: 79 ± 6 | Frailty | 6 |
| Pre-frail: 73 ± 5 | ||||||
| Robust: 74 ± 5 | ||||||
| Vincenzo et al. (2018) | Linear position transducer | 5STS | 98 (62.2%) | 77.5 ± 7.3 | Fallers | 9 |
| Zhang et al. (2017) | Triaxial accelerometer, pressure sensor | 5STS | 25 (80.0%) | 79.7 ± 5.7 | Frailty | 7 |
1 Percentage of female subjects; N/S: Not Stated.