Positive airway pressure and electrical stimulation methods for obstructive sleep apnea treatment: a patent review (2005 – 2014)

Álvarez, Daniel; Gutiérrez‐Tobal, Gonzalo C.; Campo, Félix del; Hornero, Roberto

doi:10.1517/13543776.2015.1054094

Cited by 9 publications

(7 citation statements)

References 67 publications

(71 reference statements)

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“…However, the long‐term adherence to CPAP is poor due to myriad reasons such as mask discomfort, upper airway dryness, frequent awakenings, claustrophobia, and nasal obstruction or stuffiness 8 . Other treatment modalities include surgical intervention (eg, hyoid suspension, uvulopalatopharyngoplasty, maxillomandibular advancement), behavioral modification (eg, weight loss, sleep position changes, sleep hygiene), oral appliances (eg, mandibular advancement device), and electrical nerve stimulation 9 …”

Section: Figurementioning

confidence: 99%

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Transcutaneous Electrical Stimulation Therapy in Obstructive Sleep Apnea: A Systematic Review and Meta‐analysis

Byun

Yan

Nguyen

et al. 2020

Otolaryngol.--head neck surg.

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Objective To evaluate the treatment efficacy of transcutaneous electrical nerve stimulation (TENS) in patients with obstructive sleep apnea (OSA). Data Sources Primary studies were identified though PubMed, Scopus, OVID, and Cochrane Library. Review Methods Systematic review was conducted by querying databases for articles published through July 2019. The search identified randomized controlled trial, randomized comparison, or observational studies pertaining to TENS treatment for OSA. Meta-analysis was performed on pre- and posttreatment apnea-hypopnea index (AHI), mean oxygen saturation (SaO2), lowest oxygen saturation (LSAT), and arousal index (AI). Results Literature search identified 10 studies that reported sufficient outcome measures to be considered for analysis. A total of 198 patients were identified with a mean age of 50.9 years with a male to female ratio of 1.6:1. Average body mass index (BMI) of the cohort was 29.8 kg/m2. Treatment with TENS demonstrated reduction in AHI by 12.9 points (95% confidence interval, −22.3 to −3.43; P = .008). The mean differences in SaO2, LSAT, and AI did not reach statistical significance. Conclusion The TENS treatment of upper airway dilator muscles resulted in reduction of AHI in patients with OSA. However, its effects on SaO2, LSAT, and AI were equivocal. Its impact on patients’ quality of life could not be assessed due to heterogeneity in outcome measures. Future randomized controlled trials with generalizable standardized outcome measures are needed to assess the efficacy and compliance of TENS.

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Section: Figurementioning

confidence: 99%

“…8 Other treatment modalities include surgical intervention (eg, hyoid suspension, uvulopalatopharyngoplasty, maxillomandibular advancement), behavioral modification (eg, weight loss, sleep position changes, sleep hygiene), oral appliances (eg, mandibular advancement device), and electrical nerve stimulation. 9…”

mentioning

confidence: 99%

Transcutaneous Electrical Stimulation Therapy in Obstructive Sleep Apnea: A Systematic Review and Meta‐analysis

Byun

Yan

Nguyen

et al. 2020

Otolaryngol.--head neck surg.

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“…Eligibility and cost assessment also should be discussed during this part of the evaluation 46 . Consideration needs to be given to the fact that the current device may interfere with future magnetic resonance imaging, although efforts have been made in this regard to improve both imaging and device materials so that this can be done safely.…”

Section: Making a Center: Practice Experience And Implementationmentioning

confidence: 99%

Origins of and implementation concepts for upper airway stimulation therapy for obstructive sleep apnea

Baskin

Lance

Ponsky

et al. 2016

Respiratory Investigation

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Upper airway stimulation, specifically hypoglossal (CN XII) nerve stimulation, is a new, alternative therapy for patients with obstructive sleep apnea hypopnea syndrome who cannot tolerate positive airway pressure, the first-line therapy for symptomatic patients. Stimulation therapy addresses the cause of inadequate upper airway muscle activation for nasopharyngeal and oropharyngeal airway collapse during sleep. The purpose of this report is to outline the development of this first-in-class therapy and its clinical implementation. Another practical theme is assessment of the features for considering a surgically implanted device and the insight as to how both clinical and endoscopic criteria increase the likelihood of safe and durable outcomes for an implant and how to more generally plan for management of CPAP-intolerant patients. A third theme is the team building required among sleep medicine and surgical specialties in the provision of individualized neurostimulation therapy.

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“…In addition, accessibility to diagnosis and treatment is limited due to insufficient resources, both human (trained specialists) and technical (specialized sleep units), which have led to large waiting lists [9]. In this context, automated computer-aided diagnosis systems have emerged as very useful tools to deal with complex rules involving several biomedical recordings simultaneously, in order to expedite diagnosis and treatment [10][11][12]. Among all the machine learning-based tools, ANNs have been widely applied in the context of SAHS and merit a thorough analysis.…”

Section: Introductionmentioning

confidence: 99%

Usefulness of Artificial Neural Networks in the Diagnosis and Treatment of Sleep Apnea-Hypopnea Syndrome

Álvarez¹,

Cerezo-Hernández²,

Lopez-Muniz³

et al. 2017

Sleep Apnea - Recent Updates

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Sleep apnea-hypopnea syndrome (SAHS) is a chronic and highly prevalent disease considered a major health problem in industrialized countries. The gold standard diagnostic methodology is in-laboratory nocturnal polysomnography (PSG), which is complex, costly, and time consuming. In order to overcome these limitations, novel and simplified diagnostic alternatives are demanded. Sleep scientists carried out an exhaustive research during the last decades focused on the design of automated expert systems derived from artificial intelligence able to help sleep specialists in their daily practice. Among automated pattern recognition techniques, artificial neural networks (ANNs) have demonstrated to be efficient and accurate algorithms in order to implement computer-aided diagnosis systems aimed at assisting physicians in the management of SAHS. In this regard, several applications of ANNs have been developed, such as classification of patients suspected of suffering from SAHS, apnea-hypopnea index (AHI) prediction, detection and quantification of respiratory events, apneic events classification, automated sleep staging and arousal detection, alertness monitoring systems, and airflow pressure optimization in positive airway pressure (PAP) devices to fit patients' needs. In the present research, current applications of ANNs in the framework of SAHS management are thoroughly reviewed.

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Positive airway pressure and electrical stimulation methods for obstructive sleep apnea treatment: a patent review (2005 – 2014)

Cited by 9 publications

References 67 publications

Transcutaneous Electrical Stimulation Therapy in Obstructive Sleep Apnea: A Systematic Review and Meta‐analysis

Transcutaneous Electrical Stimulation Therapy in Obstructive Sleep Apnea: A Systematic Review and Meta‐analysis

Origins of and implementation concepts for upper airway stimulation therapy for obstructive sleep apnea

Usefulness of Artificial Neural Networks in the Diagnosis and Treatment of Sleep Apnea-Hypopnea Syndrome

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