Mst. Alema Khatun, Mohammad Abu Yousuf, Sabbir Ahmed, Md. Zia Uddin et al.
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in intelligent home settings. Inertial sensors, e.g., acc...
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Background and objective Automatic sleep staging is essential for alleviating the burden of the physicians of analyzing a large volume of data by visual inspection. It is also a precondition for making an automated sleep monitoring system feasible. Further, computerized sleep scoring will expedite l...
Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E.H. Chowdhury, Zaid B. Mahbub et al.
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based BP measurements are discrete and uncomfortable to the user. T...
Mohammad Ashfak Habib, Mas Sahidayana Mohktar, Shahrul Bahyah Kamaruzzaman, Kheng Seang Lim et al.
This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall detection and prevention. Falls are considered as major health hazards for both the elderly and people with neurodegenerative diseases. To mitigate the adverse consequences of falling, a great deal of research ...
Anuva Chowdhury, Rajan Shankaran, Manolya Kavakli, Md. Mokammel Haque
Drowsiness in drivers has become a serious cause of concern due to the occurrences of a large number of fatalities on the road each year. Lives of pedestrians and passengers are put to risk as drivers tend to fall asleep at the steering wheel. In the recent past, many researchers have paid attention...
Ashikur Rahaman, Md Asadul Islam, Md. Azharul Islam, Muhammad Sheikh Sadi et al.
Internet of Things (IoT) based smart health monitoring system is a patient monitoring system in which a patient can be monitored 24 hours. In the present world, IoT is changing the infrastructure of technologies. By facilitating effortless interaction among various modules, IoT has enabled us to imp...
Md. Mosheyur Rahman, Mohammed Imamul Hassan Bhuiyan, Ahnaf Rashik Hassan
Sleep stage classification is an important task for the timely diagnosis of sleep disorders and sleep-related studies. In this paper, automatic scoring of sleep stages using Electrooculogram (EOG) is presented. Single channel EOG signals are analyzed in Discrete Wavelet Transform (DWT) domain employ...
Md. Reazul Islam, Md. Mohsin Kabir, M. F. Mridha, Sultan Alfarhood et al.
With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health monitoring remedy. IoT-based systems can gather an...
Emroz Khan, Forsad Al Hossain, Shiekh Zia Uddin, Samiul Alam et al.
GOAL: Although photoplethysmographic (PPG) signals can monitor heart rate (HR) quite conveniently in hospital environments, trying to incorporate them during fitness programs poses a great challenge, since in these cases, the signals are heavily corrupted by motion artifacts. METHODS: In this paper,...
Md. Asadur Rahman, Abu Bakar Siddik, Tarun Kanti Ghosh, Farzana Khanam et al.
Functional near-infrared spectroscopy (fNIRS) is a relatively new imaging modality in the functional neuroimaging research arena. The fNIRS modality non-invasively investigates the change of blood oxygenation level in the human brain utilizing the transillumination technique. In the last two decades...
Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Yousuf et al.
Ahnaf Rashik Hassan
Md. Milon Islam, Saifuddin Mahmud, L. J. Muhammad, Md. Rabiul Islam et al.
Wearable technology plays a significant role in our daily life as well as in the healthcare industry. The recent coronavirus pandemic has taken the world's healthcare systems by surprise. Although trials of possible vaccines are underway, it would take a long time before the vaccines are permitted f...
Sheikh Nooruddin, Md. Milon Islam, Falguni Ahmed Sharna, Husam Y. Al-Hetari et al.
Fazla Rabbi Mashrur, Md. Saiful Islam, D Saha, S. M. Riazul Islam et al.
Sleep apnea is a common symptomatic disease affecting nearly 1 billion people around the world. The gold standard approach for determining the severity of sleep apnea is full-night polysomnography conducted in the laboratory, which is very costly and cumbersome. In this work, we propose a novel scal...