Department of Veterans Affairs, Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, USA.
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
J Spinal Cord Med. 2022 Mar;45(2):204-213. doi: 10.1080/10790268.2020.1800278. Epub 2020 Aug 14.
Wheelchair safety is of great importance since falls from wheelchairs are prevalent and often have devastating consequences. We developed an automatic system to detect destabilizing events during wheelchair propulsion under real-world conditions and trigger neural stimulation to stiffen the trunk to maintain seated postures of users with paralysis. Cross-over intervention Laboratory and community settings Three able-bodied subjects and three individuals with SCI with previously implanted neurostimulation systems An algorithm to detect wheelchair sudden stops was developed. This was used to randomly trigger trunk extensor stimulation during sudden stops events Algorithm success and false positive rates were determined. SCI users rated each condition on a seven-point Usability Rating Scale to indicate safety. The system detected sudden stops with a success rate of over 93% in community settings. When used to trigger trunk neurostimulation to ensure stability, the implant recipients consistently reported feeling safer (<.05 for 2/3 subjects) with the system while encountering sudden stops as indicated by a 1-3 point change in safety rating. These preliminary results suggest that this system could monitor wheelchair activity and only apply stabilizing neurostimulation when appropriate to maintain posture. Larger scale, unsupervised and longer-term trials at home and in the community are indicated. This system could be generalized and applied to individuals without an implanted stimulation by utilizing surface stimulation, or by actuating a mechanical restraint when necessary, thus allowing unrestricted trunk movements and only restraining the user when necessary to ensure safety. NCT01474148.
轮椅安全非常重要,因为从轮椅上摔下来很常见,而且往往后果严重。我们开发了一种自动系统,可以在现实环境中检测到轮椅推进过程中的不稳定事件,并触发神经刺激,使瘫痪患者的躯干变硬,以保持坐姿。
交叉干预
实验室和社区环境
三名健康受试者和三名植入神经刺激系统的 SCI 患者
开发了一种检测轮椅突然停止的算法。这用于在突然停止事件中随机触发躯干伸肌刺激
算法的成功率和假阳性率。
SCI 患者使用七点可用性评分量表对每种情况进行评分,以表明安全性。
该系统在社区环境中检测突然停止的成功率超过 93%。当用于触发躯干神经刺激以确保稳定性时,植入接受者一致报告在遇到突然停止时感觉更安全(对于 2/3 的受试者,<.05),安全性评分变化 1-3 分。
这些初步结果表明,该系统可以监测轮椅活动,并仅在适当的时候应用稳定神经刺激来保持姿势。需要在家中和社区进行更大规模、无监督和长期试验。
该系统可以通过利用表面刺激或在必要时激活机械约束来推广并应用于没有植入刺激的个体,从而允许不受限制的躯干运动,仅在必要时限制用户以确保安全。
NCT01474148。