Abstract:This study aims to investigate the effect of a somatosensory cueing on gait disorders in subjects with Parkinson's disease (PD). After having performed stepping in place and timed up and go assessing tasks, 13 participants with PD were equipped with an electrical stimulator and an inertial measurement unit (IMU) located under the lateral malleolus on the sagittal plane. Electrodes were positioned under the arch of the foot and electrical stimulation (ES) parameters (five 500 µs/phase charge-balanced biphasic p… Show more
“…Only the stimulation of the less affected limb showed a significant reduction in duration of FOG episodes. Conversely, Sijobert and colleagues assessed the use of electrical stimulation delivered by foot electrodes and showed a 12% reduction in FOG episodes.…”
“…Only the stimulation of the less affected limb showed a significant reduction in duration of FOG episodes. Conversely, Sijobert and colleagues assessed the use of electrical stimulation delivered by foot electrodes and showed a 12% reduction in FOG episodes.…”
“…These existing methods were not applicable to assess the gait of post-stroke subjects with a complex forward swing. Therefore, we had to adapt an algorithm we developed in an earlier work for Parkinson's disease [21], to segment impaired gait cycle and we took advantage of Martin et al [17] quaternion computation to accurately remove gravity. Only a few studies have been conducted in hemiplegic participants in the literature [23], thus we mainly compared our results with publications on healthy individuals [24].…”
Section: Discussion -Conclusionmentioning
confidence: 99%
“…where The method described in [21] has been used to detect gait events, not only based on sagittal angular rate but also taking into account acceleration measurements. Stride length was then defined as the distance between two consecutive initial contacts, computed in the transverse plane (Equ.…”
Pathological gait assessment and assistive control based on functional electrical stimulation (FES) in post-stroke individuals, brings out a common need to robustly quantify kinematics facing multiple constraints. This study proposes a novel approach using inertial sensors to compute dorsiflexion angles and spatio-temporal parameters, in order to be later used as inputs for online close-loop control of FES. 26 post-stroke subjects were asked to walk on a pressure mat equipped with inertial measurement units (IMU) and passive reflective markers. A total of 930 strides were individually analyzed and results between IMU-based algorithms and reference systems compared. Mean absolute (MA) errors of dorsiflexion angles were found to be less than 4°, while stride lengths were robustly segmented and estimated with a MA error less than 10 cm. These results open new doors to rehabilitation using adaptive FES closed-loop control strategies in "foot drop" syndrome correction.
“…Through this open wearable FES architecture, a scalable hardware solution has been achieved, adaptable to the needs of different FES applications, environments, and pathologies. It is now used by our research team for other applications (Sijobert et al, 2017;Zhan et al, 2018), enabling clinicians to explore novel directions and study new hypotheses.…”
This paper presents a wireless distributed Functional Electrical Stimulation (FES) architecture. It is based on a set of, potentially heterogeneous, distributed stimulation and measurement units managed by a wearable controller. Through a proof-of-concept application, the characterization of the wireless network performances was assessed to check the adequacy of this solution with open-loop and closed-loop control requirements. We show the guaranteed time performances over the network through the control of quadriceps and hamstrings stimulation parameters based on the monitoring of the knee joint angle. Our solution intends to be a tool for researchers and therapists to develop closed-loop control algorithms and strategies for rehabilitation, allowing the design of wearable systems for a daily use context.
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