A Hybrid Bipolar Active Charge Balancing Technique with Adaptive Electrode Tissue Interface (ETI) Impedance Variations for Facial Paralysis Patients

• Published in: Sensors (Basel, Switzerland) Switzerland), 2022-02, Vol.22 (5), p.1756
• Main Authors: Moganti, Ganesh Lakshmana Kumar, Siva Praneeth, V N, Vanjari, Siva Rama Krishna
• Format: Article
• Language: English
• Subjects: active charge balancing; Balancing; Calibration; Clocks & watches; Configurations; Electric Impedance; Electric Stimulation Therapy - methods; electrode shorting; electrode tissue interface impedance; Electrodes; Facial Paralysis - therapy; functional electrical stimulation; Humans; Impedance measurement; Implants, Artificial; Methods; Nervous system diseases; Paralysis; Patient safety; Prosthesis; pulse insertion and pulse modulation; Pulse modulation; Reconfiguration; Stimulation
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22051756

Functional electrical stimulation (FES) is a safe, effective, and general approach for treating various neurological disorders. However, in the case of FES usage for implantable applications, charge balancing is a significant challenge due to variations in the fabrication process and electrode tissue interface (ETI) impedance. In general, an active charge balancing approach is being used for this purpose, which has limitations of additional power consumption for residual voltage calibration and undesired neurological responses. To overcome these limitations, this paper presents a reconfigurable calibration circuit to address both ETI variations and charge balancing issues. This reconfigurable calibration circuit works in two modes: An impedance measurement mode (IMM) for treating ETI variations and a hybrid charge balancing mode (HCBM) for handling charge balance issues. The IMM predicts the desired stimulation currents by measuring the ETI. The HCBM is a hybrid combination of electrode shorting, offset regulation, and pulse modulation that takes the best features of each of these techniques and applies them in appropriate situations. From the results, it is proved that the proposed IMM configuration and HCBM configuration have an optimal power consumption of less than 44 μW with a power ratio ranging from 1.74 to 5.5 percent when compared to conventional approaches.