OSA Patient Monitoring Based on the Beidou System
This paper presents an OSA patient interactive monitoring system based on the Beidou system. This system allows OSA patients to get timely rescue when they become sleepy outside. Because the Beidou position marker has an interactive function, it can reduce the anxiety of the patient while waiting fo...
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| Vydané v: | Frontiers in public health Ročník 9; s. 745524 |
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| Hlavní autori: | , , , , , , , , , |
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| Jazyk: | English |
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Switzerland
Frontiers Media S.A
16.11.2021
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| ISSN: | 2296-2565, 2296-2565 |
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| Abstract | This paper presents an OSA patient interactive monitoring system based on the Beidou system. This system allows OSA patients to get timely rescue when they become sleepy outside. Because the Beidou position marker has an interactive function, it can reduce the anxiety of the patient while waiting for the rescue. At the same time, if a friend helps the OSA patients to call the doctor, the friend can also report the patient's condition in time. This system uses the popular IoT framework. At the bottom is the data acquisition layer, which uses wearable sensors to collect vital signs from patients, with a focus on ECG and SpO2 signals. The middle layer is the network layer that transmits the collected physiological signals to the Beidou indicator using the Bluetooth Low Energy (BLE) protocol. The top layer is the application layer, and the application layer uses the mature rescue interactive platform of Beidou. The Beidou system was developed by China itself, the main coverage of the satellite is in Asia, and is equipped with a high-density ground-based augmentation system. Therefore, the Beidou model improves the positioning accuracy and is equipped with a special communication satellite, which increases the short message interaction function. Therefore, patients can report disease progression in time while waiting for a rescue. After our simulation test, the effectiveness of the OSA patient rescue monitoring system based on the Beidou system and the positioning accuracy of OSA patients have been greatly improved. Especially when OSA patients work outdoors, the cell phone base station signal coverage is relatively weak. The satellite signal is well-covered, plus the SMS function of the Beidou indicator. Therefore, the system can be used to provide timely patient progress and provide data support for the medical rescue team to provide a more accurate rescue plan. After a comparative trial, the rescue rate of OSA patients using the detection device of this system was increased by 15 percentage points compared with the rescue rate using only GPS satellite phones. |
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| AbstractList | This paper presents an OSA patient interactive monitoring system based on the Beidou system. This system allows OSA patients to get timely rescue when they become sleepy outside. Because the Beidou position marker has an interactive function, it can reduce the anxiety of the patient while waiting for the rescue. At the same time, if a friend helps the OSA patients to call the doctor, the friend can also report the patient's condition in time. This system uses the popular IoT framework. At the bottom is the data acquisition layer, which uses wearable sensors to collect vital signs from patients, with a focus on ECG and SpO2 signals. The middle layer is the network layer that transmits the collected physiological signals to the Beidou indicator using the Bluetooth Low Energy (BLE) protocol. The top layer is the application layer, and the application layer uses the mature rescue interactive platform of Beidou. The Beidou system was developed by China itself, the main coverage of the satellite is in Asia, and is equipped with a high-density ground-based augmentation system. Therefore, the Beidou model improves the positioning accuracy and is equipped with a special communication satellite, which increases the short message interaction function. Therefore, patients can report disease progression in time while waiting for a rescue. After our simulation test, the effectiveness of the OSA patient rescue monitoring system based on the Beidou system and the positioning accuracy of OSA patients have been greatly improved. Especially when OSA patients work outdoors, the cell phone base station signal coverage is relatively weak. The satellite signal is well-covered, plus the SMS function of the Beidou indicator. Therefore, the system can be used to provide timely patient progress and provide data support for the medical rescue team to provide a more accurate rescue plan. After a comparative trial, the rescue rate of OSA patients using the detection device of this system was increased by 15 percentage points compared with the rescue rate using only GPS satellite phones. This paper presents an OSA patient interactive monitoring system based on the Beidou system. This system allows OSA patients to get timely rescue when they become sleepy outside. Because the Beidou position marker has an interactive function, it can reduce the anxiety of the patient while waiting for the rescue. At the same time, if a friend helps the OSA patients to call the doctor, the friend can also report the patient's condition in time. This system uses the popular IoT framework. At the bottom is the data acquisition layer, which uses wearable sensors to collect vital signs from patients, with a focus on ECG and SpO2 signals. The middle layer is the network layer that transmits the collected physiological signals to the Beidou indicator using the Bluetooth Low Energy (BLE) protocol. The top layer is the application layer, and the application layer uses the mature rescue interactive platform of Beidou. The Beidou system was developed by China itself, the main coverage of the satellite is in Asia, and is equipped with a high-density ground-based augmentation system. Therefore, the Beidou model improves the positioning accuracy and is equipped with a special communication satellite, which increases the short message interaction function. Therefore, patients can report disease progression in time while waiting for a rescue. After our simulation test, the effectiveness of the OSA patient rescue monitoring system based on the Beidou system and the positioning accuracy of OSA patients have been greatly improved. Especially when OSA patients work outdoors, the cell phone base station signal coverage is relatively weak. The satellite signal is well-covered, plus the SMS function of the Beidou indicator. Therefore, the system can be used to provide timely patient progress and provide data support for the medical rescue team to provide a more accurate rescue plan. After a comparative trial, the rescue rate of OSA patients using the detection device of this system was increased by 15 percentage points compared with the rescue rate using only GPS satellite phones.This paper presents an OSA patient interactive monitoring system based on the Beidou system. This system allows OSA patients to get timely rescue when they become sleepy outside. Because the Beidou position marker has an interactive function, it can reduce the anxiety of the patient while waiting for the rescue. At the same time, if a friend helps the OSA patients to call the doctor, the friend can also report the patient's condition in time. This system uses the popular IoT framework. At the bottom is the data acquisition layer, which uses wearable sensors to collect vital signs from patients, with a focus on ECG and SpO2 signals. The middle layer is the network layer that transmits the collected physiological signals to the Beidou indicator using the Bluetooth Low Energy (BLE) protocol. The top layer is the application layer, and the application layer uses the mature rescue interactive platform of Beidou. The Beidou system was developed by China itself, the main coverage of the satellite is in Asia, and is equipped with a high-density ground-based augmentation system. Therefore, the Beidou model improves the positioning accuracy and is equipped with a special communication satellite, which increases the short message interaction function. Therefore, patients can report disease progression in time while waiting for a rescue. After our simulation test, the effectiveness of the OSA patient rescue monitoring system based on the Beidou system and the positioning accuracy of OSA patients have been greatly improved. Especially when OSA patients work outdoors, the cell phone base station signal coverage is relatively weak. The satellite signal is well-covered, plus the SMS function of the Beidou indicator. Therefore, the system can be used to provide timely patient progress and provide data support for the medical rescue team to provide a more accurate rescue plan. After a comparative trial, the rescue rate of OSA patients using the detection device of this system was increased by 15 percentage points compared with the rescue rate using only GPS satellite phones. |
| Author | Qiaolin, Hu Liangming, Cai Binxin, Miao Min, Du Xiaoqiong, Cai Zhicheng, Zeng Shuqin, Yang Yuxin, Ruan Minfen, Lin Shumin, Li |
| AuthorAffiliation | 3 Laboratory of Eco-Industrial Green Technology Wuyi College , Wuyishan , China 2 Third Institute of Oceanography, State Oceanic Administration , Xiamen , China 4 College of Zhicheng, Fuzhou University , Fuzhou , China 1 School of Physics and Information Engineering, Zhicheng College, Fuzhou University , Fuzhou , China |
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| Author_xml | – sequence: 1 givenname: Cai surname: Liangming fullname: Liangming, Cai – sequence: 2 givenname: Cai surname: Xiaoqiong fullname: Xiaoqiong, Cai – sequence: 3 givenname: Du surname: Min fullname: Min, Du – sequence: 4 givenname: Miao surname: Binxin fullname: Binxin, Miao – sequence: 5 givenname: Lin surname: Minfen fullname: Minfen, Lin – sequence: 6 givenname: Zeng surname: Zhicheng fullname: Zhicheng, Zeng – sequence: 7 givenname: Li surname: Shumin fullname: Shumin, Li – sequence: 8 givenname: Ruan surname: Yuxin fullname: Yuxin, Ruan – sequence: 9 givenname: Hu surname: Qiaolin fullname: Qiaolin, Hu – sequence: 10 givenname: Yang surname: Shuqin fullname: Shuqin, Yang |
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| Copyright | Copyright © 2021 Liangming, Xiaoqiong, Min, Binxin, Minfen, Zhicheng, Shumin, Yuxin, Qiaolin and Shuqin. Copyright © 2021 Liangming, Xiaoqiong, Min, Binxin, Minfen, Zhicheng, Shumin, Yuxin, Qiaolin and Shuqin. 2021 Liangming, Xiaoqiong, Min, Binxin, Minfen, Zhicheng, Shumin, Yuxin, Qiaolin and Shuqin |
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| Keywords | STM32 microcontroller implementation IoT–internet of things OSA patient rescue system android Beidou indicator |
| Language | English |
| License | Copyright © 2021 Liangming, Xiaoqiong, Min, Binxin, Minfen, Zhicheng, Shumin, Yuxin, Qiaolin and Shuqin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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| References | Light (B29) 2015 Yu (B32) 2015 (B35) 2014 Urtnasan (B11) 2018; 39 (B34); 5 Amir (B27) 2012; 21 Zeng (B26) 2011; 58 B28 Lan (B16) 2020; 8 Richardson (B33) 2015 Dehkordi (B24) 2013; 2013 Zihui (B30) 2022 Hinton (B12) 2012; 29 Lakhan (B8) 2018 LeCun (B13) 2015; 521 Nikolaidis (B2) 2019 Siqueira (B19) 2017 Zeng (B18) 2017; 247 Ravichandran (B3) 2019; 2019 Pathinarupothi (B14) 2017 Jansen (B10) 2018; 39 Nam (B20) 2016; 16 Zeng (B25) 2020; 14 Min (B31) 2013 Cen (B5) 2018 (B36) 2015 Bulte (B21) 2011; 28 Mencar (B1) 2019; 1 Van Steenkiste (B4) 2019; 23 De Falco (B7) 2018 McCloskey (B9) 2018 Khandoker (B23) 2011; 33 Zeng (B17) 2018; 152 Xianghua (B22) 2017; 25 Pathinarupothi (B15) 2017 Islam (B6) 2018 |
| References_xml | – start-page: 5 year: 2013 ident: B31 article-title: Beidou satellite navigation system officially provides regional services publication-title: Satellite Appl. – volume: 2013 start-page: 6563 year: 2013 ident: B24 article-title: Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing publication-title: Conf Proc IEEE Eng Med Biol Soc doi: 10.1109/EMBC.2013.6611059 – volume: 152 start-page: 92 year: 2018 ident: B17 article-title: A new imaged-based quantitative reader for the gold immunochromatographic assay publication-title: Optik doi: 10.1016/j.ijleo.2017.09.109 – volume: 2019 start-page: 5556 year: 2019 ident: B3 article-title: RespNet: a deep learning model for extraction of respiration from photoplethysmogram publication-title: Annu Int Conf IEEE Eng Med Biol Soc doi: 10.1109/EMBC.2019.8856301 – volume: 521 start-page: 436 year: 2015 ident: B13 article-title: Deep learning publication-title: Nature doi: 10.1038/nature14539 – year: 2018 ident: B7 article-title: Deep neural network hyper-parameter setting for classification of obstructive sleep apnea episodes doi: 10.1109/ISCC.2018.8538572 – year: 2019 ident: B2 article-title: Learning from higher-layer feature visualizations publication-title: Preprints arXiv. – volume: 8 start-page: 164 year: 2020 ident: B16 article-title: Generative adversarial networks and its applications in biomedical informatics publication-title: Front. Public Health doi: 10.3389/fpubh.2020.00164 – start-page: 293 year: 2017 ident: B14 article-title: Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning doi: 10.1109/BHI.2017.7897263 – start-page: 223 volume-title: Multimodal Low-Invasive System for Sleep Quality Monitoring and Improvement BT–Beyond the Internet of Things: Everything Interconnected year: 2017 ident: B19 – start-page: 524 year: 2017 ident: B15 article-title: Single sensor techniques for sleep apnea diagnosis using deep learning doi: 10.1109/ICHI.2017.37 – start-page: 3975 year: 2018 ident: B5 article-title: System for obstructive sleep apnea events detection using convolutional neural network doi: 10.1109/EMBC.2018.8513363 – start-page: 33 volume-title: China's Satellite Industry Depth Studies year: 2015 ident: B29 – volume: 23 start-page: 2354 year: 2019 ident: B4 article-title: Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks publication-title: IEEE J Biomed Health Inform doi: 10.1109/JBHI.2018.2886064 – volume: 247 start-page: 165 year: 2017 ident: B18 article-title: Dobaie. Denoising and deblurring gold immunochromatographic strip images via gradient projection algorithms doi: 10.1016/j.neucom.2017.03.056 – year: 2022 ident: B30 article-title: The development history and development trend of Beidou satellite navigation system publication-title: J Navig Posit. doi: 10.16547/j.cnki.10-1096.20220101 – volume: 28 start-page: 34 year: 2011 ident: B21 article-title: Level of agreement between heart rate variability and pulse rate variability in healthy individuals publication-title: Eur J Anaesthesiol doi: 10.1097/EJA.0b013e32834088c4 – volume: 39 start-page: 124003 year: 2018 ident: B10 article-title: Feature relevance in physiological networks for classification of obstructive sleep apnea publication-title: Physiol Meas doi: 10.1088/1361-6579/aaf0c9 – start-page: 120 volume-title: Fall in Love With a Raspberry PI year: 2015 ident: B33 – start-page: 180 volume-title: Open Handset Alliance year: 2015 ident: B36 – start-page: 88 year: 2014 ident: B35 – volume: 33 start-page: 204 year: 2011 ident: B23 article-title: Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea publication-title: Med Eng Phys doi: 10.1016/j.medengphy.2010.09.020 – year: 2018 ident: B8 article-title: Deep Neural networks with weighted averaged overnight airflow features for sleep apnea-hypopnea severity classification publication-title: Preprint arXiv doi: 10.1109/TENCON.2018.8650491 – volume: 16 start-page: 750 year: 2016 ident: B20 article-title: Sleep monitoring based on a TriAxial accelerometer and a pressure sensor publication-title: Sensors. doi: 10.3390/s16050750 – ident: B28 – volume: 21 start-page: 94 year: 2012 ident: B27 article-title: Photoplethysmography as a single source for analysis of sleep-disordered breathing in patients with severe cardiovascular disease publication-title: J Sleep Res doi: 10.1111/j.1365-2869.2011.00927.x – volume: 5 start-page: 200 ident: B34 publication-title: STM32F10X Firmware Library Chinese explanation of V2.0[eb/ol].um0427 – start-page: 361 year: 2018 ident: B9 article-title: Detecting hypopnea and obstructive apnea events using convolutional neural networks on wavelet spectrograms of nasal airflow – volume: 29 start-page: 82 year: 2012 ident: B12 article-title: Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups publication-title: IEEE Signal Process Mag doi: 10.1109/MSP.2012.2205597 – volume: 14 start-page: 480 year: 2020 ident: B25 article-title: Editorial: artificial intelligence for medical image analysis of neuroimaging data publication-title: Front Neurosci doi: 10.3389/fnins.2020.00480 – volume: 58 start-page: 1959 year: 2011 ident: B26 article-title: Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering publication-title: IEEE Trans Biomed Eng doi: 10.1109/TBME.2011.2106502 – volume: 1 start-page: 1 year: 2019 ident: B1 article-title: Application of machine learning to predict obstructive sleep apnea syndrome severity publication-title: Health Informatics J doi: 10.1177/1460458218824725 – start-page: 154 year: 2018 ident: B6 article-title: Deep learning of facial depth maps for obstructive sleep apnea prediction doi: 10.1109/iCMLDE.2018.00036 – volume: 25 start-page: 435 year: 2017 ident: B22 article-title: Comparison between heart rate variability and pulse rate variability during different sleep stages for sleep apnea patients publication-title: Technol Health Care doi: 10.3233/THC-161283 – volume-title: STM32 Self-Study Notes. year: 2015 ident: B32 – volume: 39 start-page: 065003 year: 2018 ident: B11 article-title: Multiclass classification of obstructive sleep apnea/hypopnea based on a convolutional neural network from a single-lead electrocardiogram publication-title: Physiol Meas doi: 10.1088/1361-6579/aac7b7 |
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| SubjectTerms | android Beidou indicator Cell Phone China Humans IoT–internet of things Monitoring, Physiologic OSA patient rescue system Public Health Sleep Apnea, Obstructive - diagnosis STM32 microcontroller implementation |
| Title | OSA Patient Monitoring Based on the Beidou System |
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