A Study on Obstructive Sleep Apnea by Using MindSet Platform

2014 ◽  
Vol 889-890 ◽  
pp. 687-690
Author(s):  
Dan Yang Qiao ◽  
Yi Jing Guo ◽  
Bin Lin ◽  
Hai Hang Zeng ◽  
Qin Xiu Qiu ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Daily Life ◽  
Monitoring Equipment ◽  
Self Monitoring ◽  
Monitoring Tools ◽  
Obstructive Sleep ◽  
Apnea Monitoring ◽  
Structure Monitoring ◽  
Apnea Syndrome

BCI technology as a widely used technique is gradually into daily life. Based on the study of this technique and taking advantage of MindSet extraction equipment of EEG which is available in the market, we design a portable sleep apnea monitoring tools which use MindSet as a platform, which has comfortable pillow structure. Monitoring equipment described in the text achieves real-time monitoring for apnea, also has an alarm function. Apnea syndrome on self-monitoring and alarm has better effects.

The Effectiveness Obstructive Sleep Apnea Monitoring Using Telemedicine Smartphone System (TmSS)

2021 ◽  
Vol 50 ◽  
pp. 113-121
Author(s):  
I Dewa Gede Hari Wisana ◽  
Priyambada Cahya Nugraha ◽  
Dwiana Estiwidani
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
World Health ◽  
Monitoring Tool ◽  
Standard Equipment ◽  
Monitoring Tools ◽  
Obstructive Sleep ◽  
Apnea Monitoring ◽  
Health Organization ◽  
Monitoring Devices

Data at the world health organization shows that around more than 100 million people worldwide suffer from Obstructive Sleep Apnea (OSA) and most sufferers go undetected. The purpose of this study is to develop an apnea monitor that can detect the symptoms of Obstructive Sleep Apnea using the Telemedicine Smartphone System (TmSS). The contribution of this study is the generation of telemedicine systems in sleep apnea monitoring devices. So that the monitoring tools can be effective and efficient when used, then the Obstructive Sleep Apnea monitoring tool is made with the TmSS system that can transmit data values wirelessly and in real-time. This tool uses a flex sensor to detect patient breathing. The output generated by the sensor is then conditioned on an analog signal conditioner (PSA) circuit. The signal output from the PSA is processed on the ATMega 328 microcontroller to get the respiration value which is then sent via Bluetooth HC-05 and displayed on an android smartphone device which will also display a warning notification in the event of stopping breathing (apnea). Based on the results of the measurement of respiration values compared with standard equipment produces the highest error value of 6.98% and the lowest of 0.00%. The tool can send data respiration values using the TmSS system properly. This tool can be implemented to detect the symptoms of Obstructive Sleep Apnea.

Postoperative monitoring of children with obstructive sleep apnea syndrome

2014 ◽  
Vol 155 (18) ◽  
pp. 703-707 ◽  
Author(s):  
Pálma Benedek ◽  
Gabriella Kiss ◽  
Eszter Csábi ◽  
Gábor Katona
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Preoperative Evaluation ◽  
Sleep Apnea Syndrome ◽  
Study Patient ◽  
Severe Obstructive Sleep Apnea ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
Apnea Syndrome

Introduction: Treatment of pediatric obstructive sleep apnea syndrome is surgical. The incidence of postoperative respiratory complications in this population is 5–25%. Aim: The aim of the authors was to present the preoperative evaluation and monitoring procedure elaborated in Heim Pál Children Hospital, Budapest. Method: 142 patients were involved in the study. Patient history was obtained and physical examination was performed in all cases. Thereafter, polysomnography was carried out, the severity of the obstructive sleep apnea syndrome was determined, and the patients underwent tonsilloadenotomy. Results: 45 patients with mild, 50 patients with moderate and 47 patients with severe obstructive sleep apnea syndrome were diagnosed. There was no complication in patients with mild disease, while complications were observed in 6 patients in the moderate group and 24 patients in the severe group (desaturation, apnea, stridor, stop breathing) (p<0.000). In patients with severe obstructive sleep apnea syndrome, no significant difference was noted in preoperative apnoea-hypapnea index (p = 0.23) and in nadir oxygen saturation values (p = 0.73) between patients with and without complication. Conclusions: Patients with severe obstructive sleep apnea syndrome should be treated in hospital where pediatric intensive care unit is available. Orv. Hetil., 2014, 155(18), 703–707.

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