6 research outputs found

    Detecting User’s Behavior Shift with Sensorized Shoes and Stigmergic Perceptrons

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    As populations become increasingly aged, health monitoring has gained increasing importance. Recent advances in engineering of sensing, processing and artificial learning, make the development of non-invasive systems able to observe changes over time possible. In this context, the Ki-Foot project aims at developing a sensorized shoe and a machine learning architecture based on computational stigmergy to detect small variations in subjects gait and to learn and detect users behaviour shift. This paper outlines the challenges in the field and summarizes the proposed approach. The machine learning architecture has been developed and publicly released after early experimentation, in order to foster its application on real environments

    Smart Shoe-Assisted Evaluation of Using a Single Trunk/Pocket-Worn Accelerometer to Detect Gait Phases

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    Wearable sensors may enable the continuous monitoring of gait out of the clinic without requiring supervised tests and costly equipment. This paper investigates the use of a single wearable accelerometer to detect foot contact times and estimate temporal gait parameters (stride time, swing and stance duration). The experiments considered two possible body positions for the accelerometer: over the lower trunk and inside a trouser pocket. The latter approach could be implemented using a common smartphone. Notably, during the experiments, the ground truth was obtained by using a pair of sensorized shoes. Unlike ambient sensors and camera-based systems, sensorized shoes enable the evaluation of body-worn sensors even during longer walks. Experiments showed that both trunk and pocket positions achieved promising results in estimating gait parameters, with a mean absolute error below 50 ms

    Craniotomy Burr Hole Covers: A Comparative Study of Biomechanical, Radiological, and Aesthetic Outcomes Using 3 Different Plug Materials

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    : Burr holes in the cranial vault are usually made during trephination for craniotomy or drainage of chronic subdural hematomas. The resulting cranial defect might bring to unsatisfactory esthetic outcome. In the current study the authors report clinical data regarding a cohort of patients who were treated with 3 different types of burr hole covers; autologous bone dust from skull trephination, and 2 different types of cylindric plug made out of porous hydroxyapatite in order to evaluate medium and long-term esthetic and radiological outcomes. Twenty patients were consecutively enrolled in the study and in each patient all 3 types of materials were used to cover different holes. Clinical and radiological outcomes at 6 and 12 months, were analyzed for all 3 types of plugs in terms of thickness of the graft coaptation of margins, remodeling, fractures, mobilization, and contour irregularities. In all craniotomy holes filled with autologous bone dust the authors have observed partial or complete bone reabsorption at 1 year and in 60% of the cases a visible and palpable cranial vault contour irregularity was reported. Both types of bone substitutes gave satisfactory results, comparable to autologous bone dust at 6 months and superior at 12 months, especially in terms of thickness and esthetic appearance. Hydroxyapatite plugs have shown better esthetic and biomechanical results and higher patients' satisfaction compared to autologous bone dust while not giving any additional complications
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