Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation
25 Nov 2020-Vol. 2, Iss: 3, pp 143-149
TL;DR: The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%.
Abstract: Respiratory problems can cause asthma, acute asthma attacks are very difficult to predict because they often occur suddenly and asthma can also cause death in sufferers because the breath can suddenly stop. The purpose of this research is to design an asthma detection device through indicators of heart rate and oxygen saturation. The contribution of this study is to categorize the patient's condition by looking at the value of the heartbeat and oxygen saturation so that when asthma occurs the message of a location will be sent. To measure heart rate and oxygen saturation, a Nellcor finger sensor is placed on the patient's index finger. The finger sensor enters the signal conditioning circuit, then sent to the microcontroller to be processed to produce a heart rate value and the percentage of oxygen saturation. The testing of this tool is done by comparing the module with a standard measuring instrument that produces the highest value of oxygen saturation error which is 1.715% and the largest value of heart rate error is 3.548%. The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%. The results of this study can be implemented in patients who have been diagnosed with asthma so that it can facilitate the family in monitoring the patient's condition.
Citations
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01 Jun 2016
TL;DR: The goal of this development was to prove the concept of designing a simple, cheap but reliable system for measuring blood oxygenation and pulse rate, which has been achieved, and the results obtained are more than satisfactory.
Abstract: The aim of this paper is to give a brief review of a developed solution for measurement firmware used in pulse oximetry. The goal of this development was to prove the concept of designing a simple, cheap but reliable system for measuring blood oxygenation and pulse rate. The main goal has been achieved, and the results obtained by this measurement configuration are more than satisfactory.
2 citations
References
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01 Jan 2019
TL;DR: An intelligent patient monitoring system that automatically screens the patient’s health condition through various sensors is proposed that is processed using a Raspberry Pi and useful information is saved to the IoT cloud.
Abstract: Patient monitoring is a pivotal part of the health care system nowadays, either at hospitals or at home. This paper proposes an intelligent patient monitoring system that automatically screens the patient’s health condition through various sensors. The data is then processed using a Raspberry Pi and useful information is saved to the IoT cloud. Primarily the system would be extracting the bio signal, ECG using an ECG sensor. Through continuous monitoring and graphical representation of the patient’s information, doctors/nurses/relatives can remotely check the patient’s condition. Furthermore, if the condition becomes critical, a notification is sent to the doctor/nurse/relative to inform them and either party will have the opportunity to start a video call.
52 citations
01 Aug 2015
TL;DR: The presented device will automatically diagnose patients, assess their asthma condition, and schedule their medication process without excessive visits to medical centers whilst providing doctors with accurate and pertinent and comprehensive medical data in a chronological fashion.
Abstract: In this paper an innovative prototype for smart asthma spirometry device to be used by doctors and asthma patients is presented. The novelty in this prototype relies in the fact that it is destined to subtend not only adults but offers an efficient and attractive manner to accommodate children patients as well thus, making it efficient for doctors, patients and parents to detect and monitor such intricate cases at stages as early as six years old. Moreover, the apparatus used enables us to integrate a vital parameter representing the Forced Expiratory Volume to the final diagnosis. Besides, the presented device will automatically diagnose those patients, assess their asthma condition, and schedule their medication process without excessive visits to medical centers whilst providing doctors with accurate and pertinent and comprehensive medical data in a chronological fashion. Zooming into under the hood of the device, a fully reliable hardware digital system lies along with a flowmeter detector and a Bluetooth emitter to interface with a user-friendly GUI-based application installed on smartphones which incorporates appealing animated graphics to encourage children to take the test. Furthermore, the device offers the capability of storing chronological data and a relevant resourceful display for accurate tracking of patients' medical record, the evolvement of their asthma condition, and the administered medication. Finally, the entire device is aligned with the medical requirements as per doctors' and telemedicine specialists' recommendations; the experiments carried out demonstrated the effectiveness and sustainable use of such device.
20 citations
"Design Of Asthma Detection Devices ..." refers background in this paper
...However, various studies have shown that several factors can influence the increase in the number of asthma sufferers around the world, including genetic and environmental factors [6]....
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01 Jun 2015
TL;DR: An ultrasound-based system that monitors respiratory status of asthma subjects via detecting of diaphragm movement is proposed and Chan-Vese segmentation method is superior to the other three algorithms: adaptive thresholding, EM/MPM, and Fuzzy C Means, and MI is a feasible method to extract accurate respiratory signal and clear information of the phase of respiratory cycle from 2D images.
Abstract: Ultrasound imaging has been widely used in bio-medical imaging diagnosis for a long history because of its merits: no radiation, high penetration depth, and real-time imagingcapability. In this paper, we propose an ultrasound-based system that monitors respiratory status of asthma subjects via detecting of diaphragm movement. This system implements Chan-Vese algorithm to accurately segment diaphragm area from ultrasound image sequences and extracts 1D breathing waveform by computing mutual information (MI) between two consecutive ultrasound frames. In addition, four types of respiratory signals are identified: normal breath, fast breath, apnoea, and cough, which are related to four symptoms of asthma attack and defined as the breathing templates used for early asthma detection. In experiments, the proposed system is evaluated with a public dataset from “Ultrasound image gallery” which contains nine ultrasound videos and our dataset collected by “Interson Seemore” probe which contains five ultrasound videos in the diaphragm area. The results show that Chan-Vese segmentation method is superior to the other three algorithms: adaptive thresholding, EM/MPM, and Fuzzy C Means (FCM), and MI is a feasible method to extract accurate respiratory signal and clear information of the phase of respiratory cycle from 2D images.
14 citations
"Design Of Asthma Detection Devices ..." refers background in this paper
...In 2014, the number of asthmatics increased to 334 million worldwide [7]....
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01 Jul 2018
TL;DR: A model for the severity assessment of the diseases through wearables and compatible with mobile health applications, using only heart rate and SpO2 (from pulse oximeter sensor) is proposed, with the potential to improve individual health through continual monitoring and self- management.
Abstract: Asthma and Chronic Obstructive Pulmonary Disease are chronic and long-term lung diseases. Disease monitoring with minimal sensors with high efficacy can make the disease control simple and practical for patients. We propose a model for the severity assessment of the diseases through wearables and compatible with mobile health applications, using only heart rate and SpO 2 (from pulse oximeter sensor). Patient data were obtained from the MIMIC- III Waveform Database Matched Subset. The dataset consists of 158 subjects. Both heart rate and SpO 2 signal of patients are analyzed via the proposed algorithm to classify the severity of the diseases. Strategically, a rule-based threshold approach in real time evaluation is considered for the categorization scheme. Furthermore, a method is proposed to assess severity as an Event of Interest (EOI) from the computed metrics in retrospective. This type of autonomous system for real-time evaluation of patient’s condition has the potential to improve individual health through continual monitoring and self- management, as well as improve the health status of the overall Smart and Connected Community (SCC).
13 citations
"Design Of Asthma Detection Devices ..." refers background or methods in this paper
...It has also been investigated by Siddiqui et al in 2018 to make Severity Classification of Chronic Obstructive Pulmonary Disease and Asthma with Heart Rate and SpO2 Sensors [10]....
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...In 2018 Siddiqui et al made a classification and analysis of the severity of chronic obstructive pulmonary disease and asthma using heart rate sensors and SpO2 [10][20]....
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...In the management guidelines for asthma exacerbations (GINA), assume that heart rates from 100-120 bpm and SpO2 from 90-95% as mild or moderate asthma while heart rates are greater than 120 bpm and SpO2 less than 90% as severe asthma [10]....
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01 Jan 2018
TL;DR: A construction of a wideband high frequency applicator and complex antenna system, which can be used in a device for bronchial asthma diagnosis and detection of localization of changes in a bronchovascular system is presented.
Abstract: Bronchial Asthma is a chronical lung disease, involving people of all age groups. Thus, the problem of development and practical realization of new diagnostic methods that can be used for people of all age groups and especially for children is actual. In this paper a construction of a wideband high frequency applicator and complex antenna system, which can be used in a device for bronchial asthma diagnosis and detection of localization of changes in a bronchovascular system. In the paper the results of electromagnetic modeling of two variants of constructed wideband high frequency applicator is presented.
12 citations
"Design Of Asthma Detection Devices ..." refers background in this paper
...Then, in 2018 Alexander et al made the design of a broadband microwave applicator to diagnose bronchial asthma [18]....
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