A B S T R A C T Background and objective: Despite advances on signal analysis and artificial intelligence, visual inspection is the gold standard in event detection on electroencephalographic recordings. This process requires much time of clinical experts on both annotating and training new experts for this same task. In scenarios where epilepsy is considered, the need for automatic tools is more prominent, as both seizures and interictal events can occur on hours-or days-long recordings. Although other solutions have already been proposed, most of them are not integrated on clinical and basic science environments due to their complexity and required specialization. Here we present a pipeline that arises from coordinated efforts between life-science researchers, clinicians and data scientists to develop an interactive and iterative workflow to train machine-learning tools for the automatic detection of electroencephalographic events in a variety of scenarios.Methods: The approach consists on a series of subsequent steps covering data loading and configuration, event annotation, model training/re-training and event detection. With slight modifications, the combination of these blocks can cope with a variety of scenarios. To illustrate the flexibility and robustness of the approach, three datasets from clinical (patients of Dravet Syndrome) and basic research environments (mice model of the same disease) were evaluated. From them, and in response to researchers' daily needs, four real world examples of interictal event detection and seizure classification tasks were selected and processed.Results: Results show that the current approach was of great aid for event annotation and model development. It was capable of creating custom machine-learning solutions for each scenario with slight adjustments on the analysis protocol, easily accessible to users without programming skills. Final annotator similarity metrics reached values above 80% on all cases of use, reaching 92.3% on interictal event detection on human recordings.Conclusions: The presented framework is easily adaptable to multiple real world scenarios and the interactive and ease-to-use approach makes it manageable to clinical and basic researches without programming skills. Nevertheless, it is conceived so data scientists can optimize it for specific scenarios, improving the knowledge transfer between these fields.

Obstructive sleep apnea (OSA) is the most common respiratory disease in the developed world and is commonly treated with positive airway pressure therapy (PAP). Recently, hypoglossal nerve (HNS) has been introduced as alternative treatment for OSA patients with PAP intolerance. We report the initial results with HNS treatment from Spain. Patients with OSA and PAP intolerance were screened for HNS treatment with the Inspire (TM) system. After implantation and activation, efficacy was evaluated with polysomnography and indication-specific questionnaires. Adherence data was recorded from the stimulation system. 18 patients (51.83 +/- 11.64 years, 94% male, mean Body Mass Index 27.94 +/- 3.20) received an Inspire (TM) UAS system and were included for analysis. Mean procedure time was 202.83 +/- 64.87 min. and average hospital stay 26.67 +/- 7.54 h. Mean Apnea-Hypopnea-Index was reduced by 63.44% (p <= 0.0001), while daytime sleepiness improved to a mean ESS score of 6.60 +/- 1.25 (p <= 0.0001 Therapy response (AHI reduction > 50% and final AHI < 20), was reached in 64.70 and normalization of daytime sleepiness (final ESS score < 10) in 100% of patients. Therapy adherence was 6.32 +/- 1.71 h per night. HNS is a safe and leads to effective OSA control and symptom normalization in selected OSA patients with PAP intolerance. Stimulation therapy is well accepted, as demonstrated by high adherence. Implementation of HNS therapy into an OSA program in Spain is feasible with acceptable learning curve and moderate resource utilization.

Patients with obstructive sleep apnea (OSA) that do not tolerate/accept continuous positive airway pressure (CPAP) are candidates for surgical alternatives. Hypoglossal nerve stimulation (HNS) through the implantation of the Inspire (R) device constitutes a minimally invasive operative option. The main objective of this study is to estimate, under real-world clinical practice conditions, the 3-month impact on the quality of life (IQoL) of the HNS in patients with moderate/severe OSA who do not tolerate or accept CPAP, compared to patients who did not receive HNS. As a baseline, the unadjusted EuroQol utility index was 0.764 (SD:0.190) in the intervention group (IGr) and 0.733 (SD:0.205) in the control group (CGr); three months later, the indexes were 0.935 (SD: 0.101) and 0.727 (SD:0.200), respectively. The positive impact on quality of life was estimated to be +0.177 (95% CI: 0.044-0.310; p = 0.010). All dimensions in the IGr improved compared to CGr, especially for usual activities (p < 0.001) and anxiety/depression (p > 0.001). At the end of the follow-up, there was no significant difference in the quality of life between the general Spanish population and the IGr (difference: 0.012; CI95%: -0.03 to -0.057; p = 0.0578) for the same age range; however, there was a difference concerning the CGr (difference: -0.196; CI95%: -0.257 to -0.135; p < 0.001). In conclusion, patients with moderate/severe OSA implanted with the Inspire (R) device showed a positive IQoL.

Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repetitive upper airway obstruction, intermittent hypoxemia, and recurrent awakenings during sleep. The most used treatment for this syndrome is a device that generates a positive airway pressure-Continuous Positive Airway Pressure (CPAP), but it works continuously, whether or not there is apnea. An alternative consists on systems that detect apnea episodes and produce a stimulus that eliminates them. Article focuses on the development of a simple and autonomous processing system for the detection of obstructive sleep apneas, using polysomnography (PSG) signals: electroencephalography (EEG), electromyography (EMG), respiratory effort (RE), respiratory flow (RF), and oxygen saturation (SO2). The system is evaluated using, as a gold standard, 20 PSG tests labeled by sleep experts and it performs two analyses. A first analysis detects awake/sleep stages and is based on the accumulated amplitude in a channel-dependent frequency range, according to the criteria of the American Academy of Sleep Medicine (AASM). The second analysis detects hypopneas and apneas, based on analysis of the breathing cycle and oxygen saturation. The results show a good estimation of sleep events, where for 75% of the cases of patients analyzed it is possible to determine the awake/asleep states with an effectiveness of &gt;92% and apneas and hypopneas with an effectiveness of &gt;55%, through a simple processing system that could be implemented in an electronic device to be used in possible OSA treatments.

Obstructive sleep apnoea-hypopnoea syndrome (OSA) is a respiratory disorder characterised by repetitive obstruction of the upper airway, leading to several interruptions during sleep. It is currently one of the main public health problems worldwide and one of the main cardiovascular risk factors in developed and intermediate developing countries, whose populations are increasing in rates of obesity and age. One of the common treatments for OSA is a continuous positive airway pressure (CPAP) device, which pumps air through a hose, reaches a mask that the patient has over his or her nose and travels the airway, keeping the upper airway open during sleep and avoiding episodes of airway collapse. The problem is that CPAP is not accepted by some patients due to a lack of adaptation, so alternative treatments may be needed. For some years, there have been explorations of treatments related to electrical stimulation of the muscles of the upper airway as therapy to reduce the number of episodes of apnoea (measured through the apnoea¿hypopnoea index) during the night, strengthening these muscles through stimulation. This is the protocol of the first clinical study of a rehabilitation device for home use that not only provides functional stimulation of the upper-airway dilator muscles but also provides sensory stimulation. This device works by strengthening the dilating muscles of the upper respiratory tract and improving the sensory capacity of the laryngo-pharyngeal tract and is based on existing publications on the effectiveness of functional and somatosensory neurostimulation through neuroplasticity in the recovery of neurological deficits.

Objective: To evaluate the capability of children with Dravet syndrome to generate brain gamma-oscillatory activity in response to auditory steady-state stimulation. Methods: Fifty-one subjects were included: 13 with Dravet syndrome with SCN1A gene alterations, 26 with non-Dravet epilepsies and 12 healthy controls. Responses to auditory steady-state stimulation elicited with a chirp-modulated tone between 1 and 120 Hz were collected in subjects and compared across groups. Results: Subjects with Dravet syndrome showed weak or no responses in the 1-120 Hz frequency range. Healthy controls showed oscillatory responses following the frequency of the modulation that were maximal in the low (30-70 Hz) and high (80-120) gamma-ranges both, in the power and inter-trial coherence estimates. Non-Dravet epileptic children showed differences in the auditory responses when compared with the healthy controls but were able to generate oscillatory evoked activities following the frequency-varying stimulation. Conclusions: The ability to generate brain gamma-oscillatory activity of children with Dravet in response to a chirp-modulated auditory stimulus is highly impaired, is not due to epilepsy and is consistent with the Nav1.1 channel dysfunction affecting interneuron activity seen in Dravet mouse models. Significance: The reported deficits in the brain oscillatory activity evoked by chirp modulated tones in children with Dravet is compatible with Dravet syndrome disease mechanisms and constitutes a potential biomarker for future disease-modifying interventions. (C) 2019 European Paediatric Neurology Society. Published by Elsevier Ltd. All rights reserved.

Purpose To analyse nocturnal intraocular pressure (IOP) fluctuations in patients with obstructive sleep apnea syndrome (OSAS) using a contact lens sensor (CLS) and to identify associations between the OSAS parameters determined by polysomnographic study (PSG) and IOP changes. Method Prospective, observational study. Twenty participants suspected of having OSAS were recruited. During PSG study, IOP was monitored using a CLS placed in the eye of the patient. The patients were classified according to the apnea-hypopnea index (AHI) in two categories, severe (> 30) or mild/moderate (< 30) OSAS. We evaluated several parameters determined by the IOP curves, including nocturnal elevations (acrophase) and plateau times in acrophase (PTs) defined by mathematical and visual methods. Results The IOP curves exhibited a nocturnal acrophase followed by PTs of varying extents at which the IOP remained higher than daytime measurement with small variations. We found significant differences in the length of the PTs in patients with severe OSAS compared to those with mild/moderate disease (P = 0.032/P = 0.028). We found a positive correlation between PTs and OSAS severity measured by the total number of apneic events (r = 0.681/ 0.751 P = 0.004/0.001) and AHI (r = 0.674/0.710, P = 0.004/0.002). Respiratory-related arousal and oxygen saturation also were associated significantly with the IOP PT length. Conclusions Periods of nocturnal IOP elevation lasted longer in severe OSAS patients than those with mild/moderate OSAS and correlate with the severity of the disease. The length of the nocturnal PT is also associated to respiratory parameters altered in patients with OSAS.

The objective of this communication is to describe our preliminary results in upper airway stimulation surgery via hypoglossal nerve stimulation implantation for obstructive sleep apnoea. We describe 4 cases and the outcomes of the surgery were analysed using the Epworth scale, apnoea-hypopnoea index, minimal 02 Sat, average 02 Sat and snoring intensity. In all cases a significant reduction in Epworth scale values and apnoea-hypopnoea index were obtained (P<.05). The minimum and average oxygen saturation had better values after the surgery, however, there was no statistically significant difference. The snoring severity measured subjectively changed from "intense" to "absent", in all cases. The preliminary results obtained with the upper airway stimulation surgery via hypoglossal nerve stimulation showed objective and subjective improvement after the implant activation. (C) 2017 Elsevier Espana, S.L.U. and Sociedad Espanola de Otorrinolaringologia y Cirugia de Cabeza y Cuello. All rights reserved.

The objective of this communication is to describe our preliminary results in upper airway stimulation surgery via hypoglossal nerve stimulation implantation for obstructive sleep apnoea. We describe 4 cases and the outcomes of the surgery were analysed using the Epworth scale, apnoea-hypopnoea index, minimal O2 Sat, average O2 Sat and snoring intensity. In all cases a significant reduction in Epworth scale values and apnoea-hypopnoea index were obtained (P<.05). The minimum and average oxygen saturation had better values after the surgery, however, there was no statistically significant difference. The snoring severity measured subjectively changed from «intense» to «absent» in all cases. The preliminary results obtained with the upper airway stimulation surgery via hypoglossal nerve stimulation showed objective and subjective improvement after the implant activation.

BACKGROUND: Cardiac autonomic tone after long-term continuous positive airway pressure therapy in patients with obstructive sleep apnea remains unexplored. METHODS: Thirty patients with obstructive sleep apnea (14 with moderate and 16 with severe obstructive sleep apnea) were studied during a baseline polysomnographic study, after a full night of acute continuous positive airway pressure treatment, and after long-term (~2 years) chronic continuous positive airway pressure therapy. Twenty age- and gender-matched controls with baseline sleep study were selected for comparison purposes. Cross-spectral analysis and the low-frequency (LF) and high-frequency (HF) components of the heart rate variability were computed separately over 10-min ECG epochs during rapid eye movement sleep, non-rapid eye movement sleep, and wakefulness. RESULTS: During the baseline study, obstructive sleep apnea patients exhibited increased LF, decreased HF, and increased LF/HF ratio during sleep when compared to controls. In a multiple regression model, the mean oxygen saturation explained the increased LF during rapid and non-rapid eye movement sleep in obstructive sleep apnea patients. Acute continuous positive airway pressure therapy decreased the LF modulations and the LF/HF ratio and increased the HF modulations during sleep in patients with severe obstructive sleep apnea. Long-term continuous positive airway pressure therapy decreased LF modulations and LF/HF ratio with increased HF modulations during sleep in patients with moderate and severe obstructive sleep apnea. CONCLUSIONS: Long-term continuous positive airway pressure reduces the sympathovagal imbalance in patients with moderate and severe obstructive sleep apnea, both during rapid and non-rapid eye movement sleep. Continuous positive airway pressure seems to exert its changes in cardiac autonomic modulation by decreasing the burden of nocturnal hypoxia.