XXII International Conference on Mechanics in Medicine and Biology - Abstracts Book

This book contain the abstracts presented the XXII ICMMB, held in Bologna in September 2022. The abstracts are divided following the sessions scheduled during the conference

Computational Intelligence in Electromyography Analysis

Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research

Flexible Carbon-Based Electronics and Sensorized Neuroprosthesis

In the United States alone, there are more than 2 million people living with limb loss and prosthetic devices have long been the solution to recover their activities of daily living. However, many of the prosthetic users reported their dissatisfaction with current prostheses and some even abandoned theirs due to poor comfort and limited performance. To improve prosthetic control, advancements in surgical interfaces and sensorized neuroprosthesis are two major focus and have seen great potential. Both perspectives are presented in this work. Several reinnervated muscle surgeries have been invented to enable a better communication with muscle and nerves and a stable interface is essential to record robust muscle signals which are utilized to control a neuroprosthesis. Each muscle target may have slightly different anatomy and the current state-of-the-art implantable electrodes are complex and not easily reproducible and customizable. To address this problem, I present a simple, rapid electrode fabrication method to record muscle signals and easy-to-use electrode materials using carbon black/polydimethylsiloxane (PDMS) composite. Acute in vivo testing shows that the electrodes are highly functional and have the potential to enable large-scale muscle signal recordings with extensive data to improve the neuroprosthetic control. In addition to novel neural interfaces, sensory perception is also critical to improve the manipulation of objects with a prosthesis and enhances prosthetic performance and embodiment with feedback to the user. With recent advances in tactile sensing technology and neuromorphic stimulation interface, efficient real-time communication and functioning between them are still missing. In this work, I build and test a closed-loop system that integrates tactile sensing and neuromorphic electrical stimulation. The system functions in real time and the parameters of the sensory stimulation through transcutaneous electrical nerve stimulation (TENS) convey temporal information and dynamically change responding to real-time tactile data

Actas de SABI2020

Los temas salientes incluyen un marcapasos pulmonar que promete complementar y eventualmente sustituir la conocida ventilación mecánica por presión positiva (intubación), el análisis de la marchaespontánea sin costosos equipamientos, las imágenes infrarrojas y la predicción de la salud cardiovascular en temprana edad por medio de la biomecánica arterial