SITAR: a system for independent task-oriented assessment and rehabilitation

Computer-assisted robotic device for upper limb interventions for a patient with an incomplete cervical level spinal cord injury

A man in his 50s with an incomplete cervical spinal cord injury underwent a 3-week occupational therapy programme using a computer-assisted robotic device for the upper limbs (Diego) in an acute care spinal injury unit. The patient and their partner reported their experience. Range of motion (ROM), muscle strength, pain, fatigue, independence and occupational performance are reported. Improvements occurred in upper limb ROM (shoulder and elbow), muscle strength (right elbow extensors), fatigue and functional status. Whether the results in this patient with the Diego were the same or better than standard care could not be determined. Preliminary findings suggest that the Diego was feasible for rehabilitation in an acute setting in our patient. However, it may not be suitable for all patients and a large comparative study with other therapies is needed. A limitation in the use of the Diego relates to the initial cost of the device ($A150 000).

Wireless Pressure Sensor Array Module for Sensorized Object

To complement rehabilitation assessments that involve hand-object interaction with additional information on the grasping parameters, we sensorized an object with a pressure sensor array module that can generate a pressure distribution map. The module can be customized for cylindrical and cuboid objects with up to 1024 sensing elements and it supports the efficient transfer of data wirelessly at more than 30 Hz. Although the module uses inexpensive materials, it is sensitive to changes in pressure distribution. It can also depict the shape of various objects with reasonable details as shown in the small errors for object pose estimation and high accuracy scores for hand grasp classification. The module's modular design and wireless functionality help to simplify integration with existing objects to create a smart sensing surface.Clinical relevance The resulting pressure distribution map allows the therapist to analyze grasping parameters that cannot be determined from visual observations alone.

Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?

Worldwide, at the time this article was written, there are over 127 million cases of patients with a confirmed link to COVID-19 and about 2.78 million deaths reported. With limited access to vaccine or strong antiviral treatment for the novel coronavirus, actions in terms of prevention and containment of the virus transmission rely mostly on social distancing among susceptible and high-risk populations. Aside from the direct challenges posed by the novel coronavirus pandemic, there are serious and growing secondary consequences caused by the physical distancing and isolation guidelines, among vulnerable populations. Moreover, the healthcare system's resources and capacity have been focused on addressing the COVID-19 pandemic, causing less urgent care, such as physical neurorehabilitation and assessment, to be paused, canceled, or delayed. Overall, this has left elderly adults, in particular those with neuromusculoskeletal (NMSK) conditions, without the required service support. However, in many cases, such as stroke, the available time window of recovery through rehabilitation is limited since neural plasticity decays quickly with time. Given that future waves of the outbreak are expected in the coming months worldwide, it is important to discuss the possibility of using available technologies to address this issue, as societies have a duty to protect the most vulnerable populations. In this perspective review article, we argue that intelligent robotics and wearable technologies can help with remote delivery of assessment, assistance, and rehabilitation services while physical distancing and isolation measures are in place to curtail the spread of the virus. By supporting patients and medical professionals during this pandemic, robots, and smart digital mechatronic systems can reduce the non-COVID-19 burden on healthcare systems. Digital health and cloud telehealth solutions that can complement remote delivery of assessment and physical rehabilitation services will be the subject of discussion in this article due to their potential in enabling more effective and safer NMSDK rehabilitation, assistance, and assessment service delivery. This article will hopefully lead to an interdisciplinary dialogue between the medical and engineering sectors, stake holders, and policy makers for a better delivery of care for those with NMSK conditions during a global health crisis including future pandemics.

Validity of a sensor-based table-top platform to measure upper limb function

Objective measurement is an essential part of the assessment process in neurological dysfunction such as stroke. However, current clinical scores are insensitive and based on subjective observation from experts. Technology provides an opportunity for enhanced accuracy and specificity of objective measurement. This study describes the use of an interactive force-sensitive table-top platform for the assessment of reach in post-stroke patients, admitted as part of a three week intensive upper limb training programme. Objective measures from the reachable workspace were extracted and included normalised reach distance, normalised reached speed and reach dragging. The data was compared to standardised Fugl-Meyer (FM) clinical scores, recorded at admission (FMPRE) and discharge (FMPOST). Results indicate strong relationships between the three objective measures and subjective FM scores, with significant Spearman correlations found in all cases (|ρ| > 0.5, p < 0.05). The results highlight the validity for a sensor-based table-top system to provide a simple, flexible, and objective platform for assessment of impaired upper limb motor function.