Towards Real-Time Monitoring and Detection of Asthma Symptoms on Resource-Constraint Mobile Device

Uwaoma, Chinazunwa; Mansingh, Gunjan

doi:10.1109/ccnc.2015.7157945

Cited by 14 publications

(8 citation statements)

References 12 publications

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“…Uwaoma & Mansingh [47] proposed a monitoring system that uses only smartphones built-in sensors. It monitors both patients' activity by strategically placing the smartphone on the body and wheeze sound through the smartphone's microphone.…”

Section: Existing Context-aware Systems For Asthma Managementmentioning

confidence: 99%

“…Thus, different patients would choose different solutions according to the characteristics of their condition as a consequence of asthma heterogeneity. For instance, a patient whose asthma is triggered by exercise will choose to use the solutions proposed in [47,50,51] because they are able to track motion and/or exercise. On the other hand, a patient whose treatment is only using a reliever inhaler when necessary (GINA Step 1 treatment, see Section 2.2) would not mind choosing a solution not tracking their medication context.…”

Section: Variety Of Indicatorsmentioning

confidence: 99%

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Context-aware solutions for asthma condition management: a survey

Quinde

Khan

Augusto

et al. 2018

Univ Access Inf Soc

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Section: Existing Context-aware Systems For Asthma Managementmentioning

confidence: 99%

Section: Variety Of Indicatorsmentioning

confidence: 99%

Context-aware solutions for asthma condition management: a survey

Quinde

Khan

Augusto

et al. 2018

Univ Access Inf Soc

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“…However, this tool has not been able to classify mild, moderate, and severe asthma conditions. Then, in 2015 Uwaoma et al made a tool to detect asthma symptoms using a smartphone in real-time [13]. However, in that study, there was no notification when an asthma attack occurred.…”

Section: Introductionmentioning

confidence: 99%

Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation

Indriani¹,

Setyoningsih²,

Titisari³

et al. 2020

Indones.J.electronic.electromed.med.inf

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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.

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“…In our study, we leverage the potentials of embedded sensors in smartphones for data collection, and the phone itself providing the platform for data processing, analysis, presentation and feedback (Uwaoma & Mansingh, 2015). This is enhanced by incorporating contextual information through machine learning techniques and expert systems to assist in decision process.…”

Section: Introductionmentioning

confidence: 99%

Proposing a decision support system for automated mobile asthma monitoring in remote areas

Uwaoma

Mansingh

2017

Information Technology for Development

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Advances in mobile computing have paved the way for the development of several health applications using Smartphone as a platform for data acquisition, analysis and presentation. Such areas where m-health systems have been extensively deployed include monitoring of long-term health conditions like Cardio-Vascular Diseases and pulmonary disorders, as well as detection of changes from baseline measurements of such conditions. Asthma is one of the respiratory conditions with growing concern across the globe due to the economic, social and emotional burden associated with the ailment. The management and control of asthma can be improved by consistent monitoring of the condition in real-time since attack could occur anytime and anywhere. This paper proposes the use of smartphone equipped with built-in sensors, to capture and analyse early symptoms of asthma triggered by exercise. The system design is based on Decision Support System (DSS) techniques for measuring and analysing the level and type of patient's physical activity as well as weather conditions that predispose asthma attack. Preliminary results show that smartphones can be used to monitor and detect asthma symptoms without other networked devices.This would enhance the usability of the health system while ensuring user's data privacy, and reducing the overall cost of system deployment. Further, the proposed system can serve as a handy tool for a quick medical response for asthmatics in low-income countries where there are limited access to specialized medical devices and shortages of health professionals. Development of such monitoring systems signals a positive response to lessen the global burden of asthma.

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Towards Real-Time Monitoring and Detection of Asthma Symptoms on Resource-Constraint Mobile Device

Cited by 14 publications

References 12 publications

Context-aware solutions for asthma condition management: a survey

Context-aware solutions for asthma condition management: a survey

Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation

Proposing a decision support system for automated mobile asthma monitoring in remote areas

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