Abstract:The current methods of assessing tendon health such as clinical examination, imaging techniques, and implanted pressure sensors, are often based on a subjective assessment or are not accurate enough, are extremely expensive, or are limited to relatively large damage such as partial or gross tear of the tendon and cannot accurately assess and monitor smaller damages such as micro tears or strains. This study proposes an acoustic-based wearable capable of estimating tendon load and predicting damage severity in both deep and superficial tendons. Our device consists of an array of acoustic transducers positioned around the targeted body area in the form of a cuff. One of the transducers generates an acoustic wave, which is capable of penetrating deep into the body. As these waves propagate through different tissues, they are influenced by the mechanical and geometrical properties of each tissue. The rest of the transducers are used to measure the propagated waves. The results suggest that the proposed wearable offers a promising alternative to existing superficial tendon monitoring wearable devices by improving the domain of reach. The proposed wearable shows robust performance in estimating the force applied to the tendon. It also can effectively be used to compare the health condition of two tendons and predict the type of damage.
Abstract:Every year more than 2.3 million joint replacement is performed worldwide. Around 10% of these replacements fail those results in revisions at a cost of $8 billion per year. In particular patients younger than 55 years of age face higher risks of failure due to greater demand on their joints. The long-term failure of joint replacement such as implant loosening significantly decreases the life expectancy of replacement. One of the main challenges in understanding and treatment of implant loosening is lack of a low-cost screening device that can detect or predict loosening at very early stages. In this work we are proposing a novel method of screening implant condition via ultrasonic signals. In this method we are applying ultrasonic signals to the joint via several piezoresistive discs while reading signals with several other piezoresistive sensors. We are introducing a new approachin interpreting ultrasonic signals and we prove in a finite element environment that our method can be used to assess replacement condition. We show how our new concept can detect and distinguish between different implant fixation failure types sizes and even locate the position of the failure. We believe this work can be a foundation for development of a new generation of ultrasonic diagnosis wearable devices.