View clinical trials related to Amputation; Traumatic, Limb.
Filter by:With the onset of prosthesis use following lower extremity amputations, body shows biomechanical changes according to the amputation level and consequently develops adaptation mechanisms both on the healthy and ampute side. The aim of this study is to determine the static postural adaptations that appear at different amputation levels.
This study investigates whether simultaneous electromyographic (EMG)-based pattern recognition control of an upper limb prostheses increases wear time among users. In contrast to conventional, seamless sequential pattern recognition style of control which only allows a single prosthetic hand or arm function at a time, simultaneous control allows for more than one at the same time. Participants will wear their prosthesis as they would normally at home using each control style for an 8-week period with an intermittent 1-week washout period (17 weeks total). Prosthetic usage will be monitored; including, how often participants wear their device and how many times they move each degree of freedom independently or simultaneously. The primary hypothesis is that prosthetic users will prefer simultaneous control over conventional control which will result in wearing their device more often. The secondary hypothesis is that simultaneous control will result in more efficient prosthesis control which will make it easier for participants to perform activities of daily living. The results of this study will help identify important factors related to prosthetic users' preferences while freely wearing their device within their own daily-life environment.
Many different factors can degrade the performance of an upper limb prosthesis users control with electromyographic (EMG)-based pattern recognition control. Conventional control systems require frequent recalibration in order to achieve consistent performance which can lead to prosthetic users choosing to wear their device less. This study investigates a new adaptive pattern recognition control algorithm that retrains, rather than overwrite, the existing control system each instance users recalibrate. The study hypothesis is that such adaptive control system will lead to more satisfactory prosthesis control thus reducing the need for recalibration and increasing how often users wear their device. Participants will wear their prosthesis as they would normally at-home using each control system (adaptive and non-adaptive) for an 8-week period with an intermittent 1-week washout period (17 weeks total). Prosthetic usage will be monitored during each period in order to compare user wear time and recalibration frequency when using adaptive or non-adaptive control. Participants will also play a set of virtual games on a computer at the start (0-months), mid-point (1-months) and end (2-months) of each period that will test their ability to control prosthesis movement using each control system. Changes in user performance will be evaluated during each period and compared between the two control systems. This study will not only evaluate the effectiveness of adaptive pattern recognition control, but it will be done at-home under typical and realistic prosthetic use conditions.