Multi-electrode nerve cuff recording - model analysis of the effects of finite cuff length

The effect of finite cuff length on the signals recorded by electrodes at different positions along the nerve was analysed in a model study. Relations were derived using a one-dimensional model. These were evaluated in a more realistic axially symmetric 3D model. This evaluation indicated that the cuff appeared shorter because of edge effects at the beginning and end of the cuff. The method for velocity selective filtering introduced by Donaldson was subsequently analysed. In this method, velocity selective filtering is achieved by summing the signals of subsequent tripoles after applying time shifts tuned to a certain conduction velocity. It was also found that the optimum electrode distance for a given cuff length for maximum summed RMS of symmetrical tripoles in the cuff is larger than when evaluating peak-peak amplitudes of single fibre action potentials. Velocity selective filtering yields better selectivity when using symmetrical tripoles, but may yield larger signal RMS when using the wider asymmetrical tripoles, potentially allowing for shorter cuffs. It is speculated that application of a multi-electrode reference may improve velocity selectivity for asymmetrical tripoles

Biosignal and context monitoring: Distributed multimedia applications of body area networks in healthcare

We are investigating the use of Body Area Networks (BANs), wearable sensors and wireless communications for measuring, processing, transmission, interpretation and display of biosignals. The goal is to provide telemonitoring and teletreatment services for patients. The remote health professional can view a multimedia display which includes graphical and numerical representation of patients’ biosignals. Addition of feedback-control enables teletreatment services; teletreatment can be delivered to the patient via multiple modalities including tactile, text, auditory and visual. We describe the health BAN and a generic mobile health service platform and two context aware applications. The epilepsy application illustrates processing and interpretation of multi-source, multimedia BAN data. The chronic pain application illustrates multi-modal feedback and treatment, with patients able to view their own biosignals on their handheld device

The softpro project: Synergy-based open-source technologies for prosthetics and rehabilitation

Robotics-enabled technologies for assistive and rehabilitative applications have gained an increasing attention, both in academic and industrial research settings, as a promising solution for human sensory-motor system recovery. However, many constraints remain that limit their effective employment in everyday-life, mainly related to cost, usability and users’ acceptance. The Softpro project proposes to completely reverse such paradigm, starting from the analysis of the needs from patients and the careful investigation of the sensory-motor human behaviour, capitalizing on the framework of synergistic control and soft robotics. The final goal is to study and design simple, effective and affordable soft synergy-based robotic technologies for the upper limb, such as new prostheses, exoskeletons, and assistive devices which can be useful and accessible to a wide audience of users. To pursue such an ambitious objective, SoftPro has put together research groups who laid the neuroscientific and technological fundamentals underpinning the project approach, a net of international collaborations and numerous and qualified industrial partners, which is expected to produce a strong impact on both research and innovation