TY - JOUR
T1 - Closed-loop stimulation of hypoglossal nerve in a dog model of upper airway obstruction
AU - Sahin, Mesut
AU - Durand, Dominique M.
AU - Haxhiu, Musa A.
N1 - Funding Information:
Dr. Sahin received a post-doctoral fellowship from Christopher Reeve Paralysis Foundation.
Funding Information:
Manuscript received February 8, 1999; revised February 16, 2000. The work of D. M. Durand was supported by National Institute of Health (NIH) under Grant HL-61775. The work of M. A. Haxhiu was supported by National Institute of Health (NIH) under Grant HL-50527. Asterisk indicates corresponding author. *M. Sahin is with the Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106-4912 USA (e-mail: [email protected]).
PY - 2000
Y1 - 2000
N2 - Electrical stimulation of upper airway (UAW) muscles has been under investigation as a treatment method for obstructive sleep apnea (OSA). Particular attention has been given to the electrical activation of the genioglossal muscle, either directly or via the stimulation of the hypoglossal nerve (HG), since the genioglossus is the main tongue protrusor muscle. Regardless of the stimulation site or method, an implantable electrical stimulation device for OSA patients will require a reliable method for detection of obstructive breaths to apply the stimulation when needed. In this paper, we test the hypothesis that the activity of the HG nerve can be used as a feedback signal for closed-loop stimulation of the HG nerve in an animal model of UAW obstruction where a force is applied on the submental region to physically narrow the airways. As an advantage, the method uses a single electrode for both recording and stimulation of the HG nerve. Simple linear filtering techniques were found to be adequate for producing the trigger signal for the electrical stimulation from the HG recordings. Esophageal pressure, which was used to estimate the size of the UAW passage, returned to the preloading values during closed-loop stimulation of the HG nerve. The data demonstrate the feasibility of the closed-loop stimulation of the HG nerve using its activity as the feedback signal.
AB - Electrical stimulation of upper airway (UAW) muscles has been under investigation as a treatment method for obstructive sleep apnea (OSA). Particular attention has been given to the electrical activation of the genioglossal muscle, either directly or via the stimulation of the hypoglossal nerve (HG), since the genioglossus is the main tongue protrusor muscle. Regardless of the stimulation site or method, an implantable electrical stimulation device for OSA patients will require a reliable method for detection of obstructive breaths to apply the stimulation when needed. In this paper, we test the hypothesis that the activity of the HG nerve can be used as a feedback signal for closed-loop stimulation of the HG nerve in an animal model of UAW obstruction where a force is applied on the submental region to physically narrow the airways. As an advantage, the method uses a single electrode for both recording and stimulation of the HG nerve. Simple linear filtering techniques were found to be adequate for producing the trigger signal for the electrical stimulation from the HG recordings. Esophageal pressure, which was used to estimate the size of the UAW passage, returned to the preloading values during closed-loop stimulation of the HG nerve. The data demonstrate the feasibility of the closed-loop stimulation of the HG nerve using its activity as the feedback signal.
KW - Chronic nerve recording
KW - Closed-loop functional electrical stimulation
KW - Obstructive sleep apnea
KW - Upper airway loading
UR - http://www.scopus.com/inward/record.url?scp=0033917327&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033917327&partnerID=8YFLogxK
U2 - 10.1109/10.846686
DO - 10.1109/10.846686
M3 - Article
C2 - 10916263
AN - SCOPUS:0033917327
SN - 0018-9294
VL - 47
SP - 919
EP - 925
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 7
ER -