ABSTRACT
As part of the Internet of Medical Things (IoMT) within Biomedical Engineering, telehealth is an emerging field. Due to the recent events surrounding COVID-19, it has become obvious that Telehealth treatments must be developed as a means of protecting vulnerable patients in hospitals by reducing the need to visit and therefore reducing risk to physicians. This paper investigates the feasibility of developing a non-invasive remote neuro-stimulation system using internet-based transcranial Direct Current Stimulation (tDCS). A hardware-based prototype tDCS device has been developed to be controlled using a remote command-line interface over the internet. As a result, a physician can remotely set the parameters for the tDCS treatment and monitor the treatment in real-time to ensure patient safety. In this study, the feasibility of a Tele-tDCS system was investigated, as well as the capabilities a Tele-tDCS system should offer to patients.
ABSTRACT
COVID-19 pandemic adversely challenged the healthcare system in an unprecedented way. Access to neurorehabilitation programme for patients with stroke and other neurological disability was severely restricted including shutting down of most community-based and outpatient facilities. There is hardly any organised virtual programme of exploring any potential of stretching and exercising of muscles needed in a rehabilitation programme. There is an impetus to innovate service developments, while the risks and fear of contracting the coronavirus remain prevalent. We propose a framework for developing a novel tele-neurorehabilitation system that will guide the patients to perform therapeutic exercises, as proposed by the clinicians, remotely. The system will allow patients to directly interact with doctors through a secure audio–video online portal. Wearable motion tracking sensors will be integrated within a hardware-based home setting for gathering performance data live from patients while they are performing exercises. The paper describes the design components of the framework justifying the tools, hardware, and protocols required to implement a secure online portal for tele-neurorehabilitation. Specifications of the core architectural layers have been reported. Some preliminary work demonstrates how the framework specifies capturing and analysing of physiological data using wearable sensors, as well as displaying of gait parameters on a software dashboard. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.