Peripheral neuropathies represent a significant challenge in medicine, often inadequately addressed by conventional treatments. This work proposes a method for transferring information between implanted devices using galvanic currents. Diseases like nerve lesions causing facial palsy could be addressed by transmitting signals from a healthy to a damaged nerve via intra-body communication. A spike detection algorithm enables highly efficient data compression, with a compression factor up to 13000, extracting only the essential information required for nerve stimulation and minimizing transmission size. Experimental validation demonstrated effective communication up to 10 cm, with peak currents of 3 mA, compliant with ICNIRP safety guidelines. This innovative approach offers new prospects for restoring normal movements and improving the quality of life for affected patients.

Spike-Based High-Efficiency Data Compression Method for Intra-Body Galvanic Communication in Implantable Devices

A. Coviello;A. Cattelani;M. Magarini
2024-01-01

Abstract

Peripheral neuropathies represent a significant challenge in medicine, often inadequately addressed by conventional treatments. This work proposes a method for transferring information between implanted devices using galvanic currents. Diseases like nerve lesions causing facial palsy could be addressed by transmitting signals from a healthy to a damaged nerve via intra-body communication. A spike detection algorithm enables highly efficient data compression, with a compression factor up to 13000, extracting only the essential information required for nerve stimulation and minimizing transmission size. Experimental validation demonstrated effective communication up to 10 cm, with peak currents of 3 mA, compliant with ICNIRP safety guidelines. This innovative approach offers new prospects for restoring normal movements and improving the quality of life for affected patients.
2024
EAI BODYNETS 2024
Electroneurographic signal (ENG), Galvanic Current, Intra Body Communication, Spike Detection.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1279189
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