2020
DOI: 10.1101/2020.05.02.074484
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Closed-loop sacral neuromodulation for bladder function using dorsal root ganglia sensory feedback in an anesthetized feline model

Abstract: Overactive bladder patients suffer from a frequent and uncontrollable urge to urinate, which can lead to a poor quality of life. Current sacral neuromodulation therapy uses open-loop electrical stimulation to alleviate symptoms, which limits battery life and can lead to neural habituation. In this study, we aim to improve therapy by developing a conditional stimulation paradigm using neural recordings from dorsal root ganglia (DRG) as sensory feedback. Experiments were performed in 5 non-survival, anesthetized… Show more

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Cited by 2 publications
(3 citation statements)
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“…Ouyang et al 16 implemented a Kalman filter-based algorithm to estimate bladder pressure in real-time using sacral-level dorsal root ganglion neural recordings in cats. The system initiated sacral root electrical stimulation when the algorithm detected an increase in the estimated bladder pressure.…”
Section: Technique Improvementmentioning
confidence: 99%
See 2 more Smart Citations
“…Ouyang et al 16 implemented a Kalman filter-based algorithm to estimate bladder pressure in real-time using sacral-level dorsal root ganglion neural recordings in cats. The system initiated sacral root electrical stimulation when the algorithm detected an increase in the estimated bladder pressure.…”
Section: Technique Improvementmentioning
confidence: 99%
“…The system initiated sacral root electrical stimulation when the algorithm detected an increase in the estimated bladder pressure. 16 Closed-loop neural stimulation was performed during continuous cystometry, and this was compared to bladder fills with continuous stimulation and no stimulation. Dorsal root ganglion nerves that were found with high confidence to innervate the bladder had reduced sensitivity during stimulation, with lower linear trendline fits and higher-pressure thresholds for nerve firing.…”
Section: Technique Improvementmentioning
confidence: 99%
See 1 more Smart Citation