An Implantable Bipolar Active Charge Balancing Circuit with Six Adjustment Current levels for Facial Paralysis Patients

Moganti, Ganesh Lakshmana Kumar; Praneeth, V. N. Siva; Vanjari, Siva Rama Krishna

doi:10.1109/idaacs53288.2021.9660895

Cited by 1 publication

(1 citation statement)

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“…However, these two approaches consume extra power to nullify the residual voltages. In [16], we propose a novel architecture that measures the residual voltage and compares it with six predefined voltage levels. Based on the nearest levels, the opposite polar voltage is applied at load.…”

Section: Introductionmentioning

confidence: 99%

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

Moganti

Praneeth

Vanjari

2022

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%