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Advisor(s)
Abstract(s)
Data acquisition by electromyography, as well as the muscle stimulation, has become more accessible with
the new developments in the wearable technology and medicine. In fact, for treatments, games or sports, it
is possible to find examples of the use of muscle signals to analyse specific aspects related, e.g., to disease,
injuries or movement impulses. However, these systems are usually expensive, does not integrate data acquisition
with the muscle stimulation and does not exhibit an adaptive control behaviour that consider the
pathology and the patient response. This paper presents a wearable system that integrates the signal acquisition
and the electrostimulation using dry thin-film titanium-based electrodes. The acquired data is transmitted
to a mobile application running on a smartphone by using Bluetooth Low Energy (BLE) technology, where it
is analysed by employing artificial intelligence algorithms to provide customised treatments for each patient
profile and type of pathology, and taking into consideration the feedback of the acquired electromyography
signal. The acquired patient’s data is also stored in a secure cloud database to support the physician to analyse
and follow-up the clinical results from the rehabilitation process.
Description
Keywords
Wearable bioestimulation Data acquisition Electromyography Artificial intelligence
Citation
Carvalho, José; Franco, Tiago; Lima, José; Teixeira, João Paulo; Leitão, Paulo; Gonçalves, João; Kaizer, Raul; Sestrem, Leonardo (2022). Data acquisition, conditioning and processing system for a wearable-based biostimulation. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022). Vol. 1 p. 223-230. ISBN 978-989-758-552-4
Publisher
SCITEPRESS