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Hassan Ali
School of Engineering Technology and Industrial Trades, College of North Atlantic Qatar (CNAQ), Doha 24449, Qatar

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Journal article
Published: 04 August 2021 in Electronics
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The absence of cardiovascular disease (CVD) diagnostic and management solutions cause significant morbidity among populations in rural areas and the coronavirus disease of 2019 (COVID-19) emergency. To tackle this problem, in this paper, the development of an Internet of things (IoT) assisted ambulatory electrocardiogram (ECG) monitoring system is presented. The system’s wearable single-channel data acquisition device supports 25 h of continuous operation. A right leg drive (RLD) circuit supported analog frontend (AFE) with a high common mode rejection ratio (CMRR) of 121 dB and a digitally implemented notch filter is used to suppress power-line frequency interference. The wearable device continuously sends the collected ECG data via Bluetooth to the user’s smartphone. An application on the user’s smartphone renders real-time ECG trace and heart rate and detects abnormal heart rhythms. This data are then shared in real-time with the user’s doctor via a real-time cloud database. An application on the doctor’s smartphone allows real-time visualization of this data and detection of arrhythmias. Simulations and experimental results demonstrate that reliable ECG signals can be captured with low latency and the heart rate computation is comparable to a commercial application. Low cost, scalability, low latency, real-time ECG monitoring, and improved performance of the system make the system highly suitable for the real-time remote identification and management of CVDs in users of rural areas and in the COVID-19 pandemic.

ACS Style

Hassan Ali; Hein Naing; Raziq Yaqub. An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection. Electronics 2021, 10, 1871 .

AMA Style

Hassan Ali, Hein Naing, Raziq Yaqub. An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection. Electronics. 2021; 10 (16):1871.

Chicago/Turabian Style

Hassan Ali; Hein Naing; Raziq Yaqub. 2021. "An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection." Electronics 10, no. 16: 1871.

Journal article
Published: 02 February 2021 in Sustainability
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A large potential exists in the Southeast Asia region for deployment of high-efficiency, low-emission (HELE) electricity generation technologies. A cost–benefit analysis of HELE technologies compared to the less efficient subcritical electricity generation plants is thus carried out to find a persuasive scenario supporting quicker transition from subcritical stations towards HELE technologies in the region. A levelized cost of electricity (LCOE) analysis is carried out for both technologies under four potential policy scenarios. Scenario 1 does not take into consideration any carbon pricing or costs associated with the desulphurization (deSOx) and denitrification (deNOx) facilities. Scenario 2 (Scenario 3) incorporates carbon pricing (costs associated with the deSOx and deNOx facilities), and Scenario 4 includes both carbon pricing and costs associated with the deSOx and deNOx facilities. Under each scenario, a sensitivity analysis is performed to evaluate the uncertainty affecting the future coal prices. This study demonstrates that HELE technologies are competitive against the subcritical plants under all four scenarios and both the technologies derive benefit from lifetime extensions and low coal prices. It is revealed that future deployments of HELE technologies can be best expedited by factoring in carbon pricing in LCOE costs of coal-fired power plants under Scenario 2.

ACS Style

Hassan Ali; Han Phoumin; Steven Weller; Beni Suryadi. Cost–Benefit Analysis of HELE and Subcritical Coal-Fired Electricity Generation Technologies in Southeast Asia. Sustainability 2021, 13, 1591 .

AMA Style

Hassan Ali, Han Phoumin, Steven Weller, Beni Suryadi. Cost–Benefit Analysis of HELE and Subcritical Coal-Fired Electricity Generation Technologies in Southeast Asia. Sustainability. 2021; 13 (3):1591.

Chicago/Turabian Style

Hassan Ali; Han Phoumin; Steven Weller; Beni Suryadi. 2021. "Cost–Benefit Analysis of HELE and Subcritical Coal-Fired Electricity Generation Technologies in Southeast Asia." Sustainability 13, no. 3: 1591.

Concept paper
Published: 15 November 2020 in IoT
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Due to the proliferation of extended travel range electric vehicles (EVs), these will travel through different networks that might be served by different utility companies. Therefore, we propose an architecture capable of offering a charging service to roaming vehicles. Furthermore, although the energy internet supports both the flow of energy and information, it does not support seamless EV roaming service, because it is based on a centralized architecture. The blockchain technology that is based on a decentralized system has the potential to support a secure billing platform for charging the EVs roaming through different electrical jurisdictions. Furthermore, the integration of artificial intelligence (AI) ensures that the participating players get a fair portion of the revenue. Thus, the objective of this paper is to develop an AI and blockchain integrated billing architecture that would offer a charging service to the “roaming” EVs and present a fair and unified billing solution.

ACS Style

Raziq Yaqub; Sadiq Ahmad; Hassan Ali; Azzam- Ul- Asar. AI and Blockchain Integrated Billing Architecture for Charging the Roaming Electric Vehicles. IoT 2020, 1, 382 -397.

AMA Style

Raziq Yaqub, Sadiq Ahmad, Hassan Ali, Azzam- Ul- Asar. AI and Blockchain Integrated Billing Architecture for Charging the Roaming Electric Vehicles. IoT. 2020; 1 (2):382-397.

Chicago/Turabian Style

Raziq Yaqub; Sadiq Ahmad; Hassan Ali; Azzam- Ul- Asar. 2020. "AI and Blockchain Integrated Billing Architecture for Charging the Roaming Electric Vehicles." IoT 1, no. 2: 382-397.

Journal article
Published: 17 December 2019 in International Journal of Online and Biomedical Engineering (iJOE)
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Due to the rising number of heart patients and the apparent need for more robust electrocardiogram (ECG) monitoring of these patients, hospitals are increasingly investing in typical cloud technology or centralized hospital server based remote ECG monitoring systems. However, the deployment these systems in rural communities is limited due to the high cost factor. To counter this challenge, in this paper, we focus on the design and implementation of a low cost real time wireless ambulatory ECG monitoring system. The detected ECG signals are first filtered and amplified and then digitally converted by a microcontroller. The digitized ECG signals are then sent over a ZigBee wireless link to a gateway personal computer (PC) at patient’s premises. The received ECG data from the ZigBee connection is displayed in real time via the National Instruments (NI) Laboratory Virtual Instrument Engineering Workbench (LabVIEW) user interface on the PC for instant personalized evaluation of the ECG data. The ECG data can be saved on the PC and sent via email to a remote cardiologist or a clinician. Additionally, the gateway PC at patient’s end acts as web server for sharing patient’s data over the Internet. The remote off-site physician (medical staff in a hospital) can use a web browser on a PC, laptop or a mobile phone with Internet connection to access patient’s real time ECG trace for monitoring, expert review and diagnosis. It is shown that the system prototype allows users to acquire reliable ECG signals effectively and simply. The proposed ambulatory ECG system offers an alternative low cost deployment strategy and is especially suited for remote cardiac monitoring of patients in rural communities.

ACS Style

Hassan Ali; Ben Ernest Villaneouva; Raziq Yaqub. Design and Implementation of a Low Cost Wireless Ambulatory ECG Monitoring System for Deployment in Rural Communities. International Journal of Online and Biomedical Engineering (iJOE) 2019, 15, 57 -79.

AMA Style

Hassan Ali, Ben Ernest Villaneouva, Raziq Yaqub. Design and Implementation of a Low Cost Wireless Ambulatory ECG Monitoring System for Deployment in Rural Communities. International Journal of Online and Biomedical Engineering (iJOE). 2019; 15 (15):57-79.

Chicago/Turabian Style

Hassan Ali; Ben Ernest Villaneouva; Raziq Yaqub. 2019. "Design and Implementation of a Low Cost Wireless Ambulatory ECG Monitoring System for Deployment in Rural Communities." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 15: 57-79.

Journal article
Published: 01 November 2017 in Journal of Clean Energy Technologies
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ACS Style

Hassan Ali; Terence Tang Jia Wei. CFD Study of an Improved Biomass Cookstove with Reduced Emission and Improved Heat Transfer Characteristics. Journal of Clean Energy Technologies 2017, 5, 427 -432.

AMA Style

Hassan Ali, Terence Tang Jia Wei. CFD Study of an Improved Biomass Cookstove with Reduced Emission and Improved Heat Transfer Characteristics. Journal of Clean Energy Technologies. 2017; 5 (6):427-432.

Chicago/Turabian Style

Hassan Ali; Terence Tang Jia Wei. 2017. "CFD Study of an Improved Biomass Cookstove with Reduced Emission and Improved Heat Transfer Characteristics." Journal of Clean Energy Technologies 5, no. 6: 427-432.

Journal article
Published: 01 January 2012 in International Journal of Computer and Electrical Engineering
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ACS Style

Hassan Ali. A Cyclic Prefix based Extended QRD-RLS Algorithm using Block Householder Transformation for Adaptive Channel Estimation in Multicarrier Systems. International Journal of Computer and Electrical Engineering 2012, 550 -553.

AMA Style

Hassan Ali. A Cyclic Prefix based Extended QRD-RLS Algorithm using Block Householder Transformation for Adaptive Channel Estimation in Multicarrier Systems. International Journal of Computer and Electrical Engineering. 2012; ():550-553.

Chicago/Turabian Style

Hassan Ali. 2012. "A Cyclic Prefix based Extended QRD-RLS Algorithm using Block Householder Transformation for Adaptive Channel Estimation in Multicarrier Systems." International Journal of Computer and Electrical Engineering , no. : 550-553.