References
- Cuesta-Vargas AI, Galán-Mercant A, Williams JM. 2010. The use of inertial sensors system for human motion analysis. Phys Ther Rev. 15:462–473.10.1179/1743288X11Y.0000000006
- Gracovetsky S, Newman N, Pawlowsky M, Lanzo V, Davey B, Robinson L. 1995. A database for estimating normal spinal motion derived from noninvasive measurements. Spine. 20:1036–1046.10.1097/00007632-199505000-00010
- Palazzo C, Klinger E, Dorner V, Kadri A, Thierry O, Boumenir Y, Martin W, Poiraudeau S, Ville I. 2016. Barriers to home-based exercise program adherence with chronic low back pain: Patient expectations regarding new technologies. Ann Phys Rehabil Med. 59:107–113.10.1016/j.rehab.2016.01.009
- Ranavolo A, Don R, Draicchio F, Bartolo M, Serrao M, Padua L, Cipolla G, Pierelli F, Iavicoli S, Sandrini G. 2013. Modelling the spine as a deformable body: Feasibility of reconstruction using an optoelectronic system. Appl Ergon. 44:192–199.10.1016/j.apergo.2012.07.004
- Vrtovec T, Pernuš F, Likar B. 2009. A review of methods for quantitative evaluation of spinal curvature. Eur Spine J. 18:1–15.
- Wand BM, Tulloch VM, George PJ, Smith AJ, Goucke R, O’Connell NE, Moseley GL. 2012. Seeing it helps: movement-related back pain is reduced by visualization of the back during movement. Clin J Pain. 28:602–608.10.1097/AJP.0b013e31823d480c
- Wong WY, Wong MS. 2008. Smart garment for trunk posture monitoring: a preliminary study. Scoliosis. 3:7.10.1186/1748-7161-3-7