IEHSAM: IoT based E-Health and Sleep Apnea Monitoring System

Author(s):  
Moon Chowdhury ◽  
Golap Kanti Dey ◽  
M. R. Karim
2013 ◽  
Vol 753-755 ◽  
pp. 2369-2373
Author(s):  
Yu Xuan Hu ◽  
Yi Hu ◽  
Shu Ming Ye ◽  
Xiao Xiang Zheng

As a major indicator of Obstructive Sleep Apnea Syndrome (OSAS) in clinical diagnosis, the monitoring of sleep apnea plays an important role in medical treatments of modern society. This paper proposes a portable sleep apnea monitoring system, which is of high-precision and low-power consumption, and capable of performing the long-term monitoring of OSAS patients multiple physiological parameters in clinical treatments. In the system, the AC modulated detection is adopted, and low amplification ratios are utilized in forestage and a high-resolution AD converter is designed in post-stages. Thus, it is able to acquire, analyze, and process physiological signals in real-time. In addition, ultralow-power chips are used in control system to save the power consumption. The experimental results show that our monitoring system has the strengths of high stability, low-power consumption (peak current90mA), and strong anti-interference ability, which demonstrates the potential in practical applications.


2021 ◽  
Vol 69 (2) ◽  
pp. 2793-2806
Author(s):  
Xiaolong Yang ◽  
Xin Yu ◽  
Liangbo Xie ◽  
Hao Xue ◽  
Mu Zhou ◽  
...  

Author(s):  
Yang Yang ◽  
Abdur Rahim ◽  
Nemai Chandra Karmakar

Sleep apnea is a severe, potentially life-threatening condition that requires immediate medical attention. In this chapter, a novel wireless sleep apnea monitoring system is proposed to avoid uncomfortable sleep in an unfamiliar sleep laboratory in traditional PSG-based wired monitoring systems. In wireless sleep apnea monitoring system, signal propagation paths may be affected by fading because of reflection, diffraction, energy absorption, shadowing by the body, body movement, and the surrounding environment. To combat the fading effect in WBSN, the MIMO technology is introduced in this chapter. In addition, the presented active RFID based system is composed of two main parts. The first is an on-body sensor system; the second is a reader and base station. In order to minimize the physical size of the on-body sensors and to avoid interference with 2.4 GHz wireless applications, the system is designed to operate in the 5.8 GHz ISM band. Each on-body sensor system consists of a physiological signal detection circuit, an analogue-to-digital convertor (ADC), a microcontroller (MCU), a transceiver, a channel selection bandpass filter (BPF), and a narrow band antenna.


SLEEP ◽  
2009 ◽  
Vol 32 (5) ◽  
pp. 629-636 ◽  
Author(s):  
Rogerio Santos-Silva ◽  
Denis E. Sartori ◽  
Viviane Truksinas ◽  
Eveli Truksinas ◽  
Fabiana F. F. D Alonso ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
N Bidegain ◽  
B Degand ◽  
C Bouleti ◽  
L Christiaens ◽  
M Tavernier ◽  
...  

Abstract Background New generation pacemaker allow the assessment day by day of sleep disordered breathing (SDB) based on impedance measurement. A recent study demonstrated that incidence of AF is higher in case of severe SA monitored by pacemaker Purpose The aim was to compare the atrial fibrillation (AF) burden between patients with severe and non-severe sleep apnea (SA) detected with pacemakers monitoring (SDB). Methods This retrospective study was carried out at our University Hospital. We included all patients with Microport CRM pacemaker implanted from 2013 to 2016 at our university hospital. Exclusion criteria were inactivation of sleep apnea monitoring (SAM), history of sleep apnea, missing data or invalid data. AF burden was assessed according to Fallback mode switch (FMS) duration. Respiratory disturbance index (RDI) was calculated as the average number of events (ventilation pause and reductions) per number of hours of monitoring. Patients with RDI<20/h were compared with patients with RDI≥20/h (considered as severe SA group). Results 404 patients (mean age = 79.7±10 years; 52.0% men) were included. The most prevalent indication for cardiac pacing was atrioventricular block in 57%. Mean RDI was 18.9 events per hour. 234 (58%) of them had a mean RDI <20 and 170 (42%) had a mean RDI ≥20. Compared to patients with mean RDI<20, those with mean RDI ≥20 were youngers (78.6±10 years Vs 81.8±8 years; p=0.02), were more likely to be male (58.2% Vs 47.5%: p=0.035) and had more heart failure history (28.8% Vs 19.2%: p=0.03). BMI was not different between groups (26.3±5. vs 26.3±4; P=0.33). Mean follow-up was 27 months. Patients with RDI ≥20 had a mean Atrial fibrillation duration longer than patients with RDI <20 (631 min Vs 291 min respectively; p=0.014). RDI was correlated with FMS (r=0.26; p=0.0004). The stroke rate tended to be higher in the RDI ≥20 group (2.1% vs 5.4%) (p=0.12). Conclusion Severe SA detected by pacemaker was associated with longer AF duration. We did not find higher occurrence of stroke in the severe SA group. Funding Acknowledgement Type of funding source: None


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