Android-based real-time healthcare system

Tarapiah, Saed; Daadoo, Motaz; Atalla, Shadi

doi:10.1504/ijmei.2017.085051

Cited by 10 publications

(4 citation statements)

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“…The battery life time of the proposed monitoring system using Equation (6) could be extended to 374.855 h instead of 8 h when the traditional operation was used instead. We also compared the power consumption of the proposed monitoring system based on the sleep/wake scheme to the sixteen existing studies that employed different non-contact technologies such as GSM modem, ZigBee, and Bluetooth to communicate the vital signs of the patients [64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79]. The power consumption of different medical applications dissimilar to the breathing syndromes was considered for comparison because there are no previous studies similar to the current work focused on energy consumption.…”

Section: Results For Power Consumptionmentioning

confidence: 99%

A System for Monitoring Breathing Activity Using an Ultrasonic Radar Detection with Low Power Consumption

Al-Naji

Al-Askery

Gharghan

et al. 2019

JSAN

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Continuous monitoring of breathing activity plays a major role in detecting and classifying a breathing abnormality. This work aims to facilitate detection of abnormal breathing syndromes, including tachypnea, bradypnea, central apnea, and irregular breathing by tracking of thorax movement resulting from respiratory rhythms based on ultrasonic radar detection. This paper proposes a non-contact, non-invasive, low cost, low power consumption, portable, and precise system for simultaneous monitoring of normal and abnormal breathing activity in real-time using an ultrasonic PING sensor and microcontroller PIC18F452. Moreover, the obtained abnormal breathing syndrome is reported to the concerned physician’s mobile telephone through a global system for mobile communication (GSM) modem to handle the case depending on the patient’s emergency condition. In addition, the power consumption of the proposed monitoring system is reduced via a duty cycle using an energy-efficient sleep/wake scheme. Experiments were conducted on 12 participants without any physical contact at different distances of 0.5, 1, 2, and 3 m and the breathing rates measured with the proposed system were then compared with those measured by a piezo respiratory belt transducer. The experimental results illustrate the feasibility of the proposed system to extract breathing rate and detect the related abnormal breathing syndromes with a high degree of agreement, strong correlation coefficient, and low error ratio. The results also showed that the total current consumption of the proposed monitoring system based on the sleep/wake scheme was 6.936 mA compared to 321.75 mA when the traditional operation was used instead. Consequently, this led to a 97.8% of power savings and extended the battery life time from 8 h to approximately 370 h. The proposed monitoring system could be used in both clinical and home settings.

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Section: Results For Power Consumptionmentioning

confidence: 99%

A System for Monitoring Breathing Activity Using an Ultrasonic Radar Detection with Low Power Consumption

Al-Naji

Al-Askery

Gharghan

et al. 2019

JSAN

View full text Add to dashboard Cite

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“…Commodity devices such as wearable smartwatches and mobile phones have been widely investigated in several health monitoring applications as well as in context-aware situations complementing the elder's limited ability, i.e., rhinitis and asthma, heart rate, blood sugar levels, human body temperature, and fall detection enabled applications (Tarapiah et al, 2017 ; Bousquet et al, 2018 ; Mehmood et al, 2019 ). The integration of wearable and medical devices within home Internet of Things (IoT) based solutions were proposed by the European project entitled ProACT (Integrated Technology Systems for ProACTive Patient-Centered Care).…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous Tool for Monitoring Multi-Morbidity Health Conditions in UAE and India

Atalla

Amin

Kumar³

et al. 2022

Front. Artif. Intell.

Self Cite

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Multi-morbidity is the presence of two or more long-term health conditions, including defined physical or mental health conditions, such as diabetes or schizophrenia. One of the regular and critical health cases is an elderly person with a multi-morbid health condition and special complications who lives alone. These patients are typically not familiar with advanced Information and Communications Technology (ICT), but they are comfortable using smart devices such as wearable watches and mobile phones. The use of ICT improves medical quality, promotes patient security and data security, lowers operational and administrative costs, and gives the people in charge to make informed decisions. Additionally, the use of ICT in healthcare practices greatly reduces human errors, enhances clinical outcomes, ramps up care coordination, boosts practice efficiencies, and helps in collecting data over time. The proposed research concept provides a natural technique to implement preventive health care innovative solutions since several health sensors are embedded in devices that autonomously monitor the patients' health conditions in real-time. This enhances the elder's limited ability to predict and respond to critical health situations. Autonomous monitoring can alert doctors and patients themselves of unexpected health conditions. Real-time monitoring, modeling, and predicting health conditions can trigger swift responses by doctors and health officials in case of emergencies. This study will use data science to stimulate discoveries and breakthroughs in the United Arab Emirates (UAE) and India, which will then be reproduced in other world areas to create major gains in health for people, communities, and populations.

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“…The proposed vital signs monitoring system (VSMS) consumed a high current that led to a decrease in the life of the battery and decreased monitoring time. It was shown in References [13,14,15] that the authors did not consider any methods for decreasing current consumption when designing the devices. As a result of not including energy efficiency in the scope of these studies, these devices consumed high amounts of current (approximately 100–550 mA).…”

Section: Related Workmentioning

confidence: 99%

“…When these components consume high amounts of power, battery lifetime decreases and the system becomes inefficient. Some past studies [12,13,14,15,16] did not consider approaches for solving this power consumption problem when designing patient monitoring systems or devices. In addition, these devices exhausted a considerable amount of current (~100–500 mA) because they continually monitored patients’ vital signs during daily activities.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer

Gharghan

Fakhrulddin

Al-Naji

et al. 2019

Sensors

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Elderly fall detection systems based on wireless body area sensor networks (WBSNs) have increased significantly in medical contexts. The power consumption of such systems is a critical issue influencing the overall practicality of the WBSN. Reducing the power consumption of these networks while maintaining acceptable performance poses a challenge. Several power reduction techniques can be employed to tackle this issue. A human vital signs monitoring system (HVSMS) has been proposed here to measure vital parameters of the elderly, including heart rate and fall detection based on heartbeat and accelerometer sensors, respectively. In addition, the location of elderly people can be determined based on Global Positioning System (GPS) and transmitted with their vital parameters to emergency medical centers (EMCs) via the Global System for Mobile Communications (GSM) network. In this paper, the power consumption of the proposed HVSMS was minimized by merging a data-event (DE) algorithm and an energy-harvesting-technique-based wireless power transfer (WPT). The DE algorithm improved HVSMS power consumption, utilizing the duty cycle of the sleep/wake mode. The WPT successfully charged the HVSMS battery. The results demonstrated that the proposed DE algorithm reduced the current consumption of the HVSMS to 9.35 mA compared to traditional operation at 85.85 mA. Thus, an 89% power saving was achieved based on the DE algorithm and the battery life was extended to 30 days instead of 3 days (traditional operation). In addition, the WPT was able to charge the HVSMS batteries once every 30 days for 10 h, thus eliminating existing restrictions involving the use of wire charging methods. The results indicate that the HVSMS current consumption outperformed existing solutions from previous studies.

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Android-based real-time healthcare system

Cited by 10 publications

References 0 publications

A System for Monitoring Breathing Activity Using an Ultrasonic Radar Detection with Low Power Consumption

A System for Monitoring Breathing Activity Using an Ultrasonic Radar Detection with Low Power Consumption

Autonomous Tool for Monitoring Multi-Morbidity Health Conditions in UAE and India

Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer

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