User profiles for M. Jamal Deen
MJ DeenDistinguished University Professor, McMaster University Verified email at mcmaster.ca Cited by 27733 |
A wireless wearable ECG sensor for long-term applications
Ubiquitous vital signs sensing using wireless medical sensors are promising alternatives to
conventional, in-hospital healthcare systems. In this work, a wearable ECG sensor is …
conventional, in-hospital healthcare systems. In this work, a wearable ECG sensor is …
[HTML][HTML] Smart homes for elderly healthcare—Recent advances and research challenges
Advancements in medical science and technology, medicine and public health coupled with
increased consciousness about nutrition and environmental and personal hygiene have …
increased consciousness about nutrition and environmental and personal hygiene have …
[HTML][HTML] Wearable sensors for remote health monitoring
Life expectancy in most countries has been increasing continually over the several few
decades thanks to significant improvements in medicine, public health, as well as personal and …
decades thanks to significant improvements in medicine, public health, as well as personal and …
Homecare robotic systems for healthcare 4.0: Visions and enabling technologies
Powered by the technologies that have originated from manufacturing, the fourth revolution
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution, …
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution, …
A novel cloud-based framework for the elderly healthcare services using digital twin
With the development of technologies, such as big data, cloud computing, and the Internet
of Things (IoT), digital twin is being applied in industry as a precision simulation technology …
of Things (IoT), digital twin is being applied in industry as a precision simulation technology …
A data-driven auto-CNN-LSTM prediction model for lithium-ion battery remaining useful life
Integration of each aspect of the manufacturing process with the new generation of information
technology such as the Internet of Things, big data, and cloud computing makes industrial …
technology such as the Internet of Things, big data, and cloud computing makes industrial …
Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images
Gliomas are the most common malignant brain tumors with different grades that highly
determine the rate of survival in patients. Tumor segmentation and grading using magnetic …
determine the rate of survival in patients. Tumor segmentation and grading using magnetic …
[HTML][HTML] Microfabricated reference electrodes and their biosensing applications
Over the past two decades, there has been an increasing trend towards miniaturization of
both biological and chemical sensors and their integration with miniaturized sample pre-…
both biological and chemical sensors and their integration with miniaturized sample pre-…
Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives
Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
[HTML][HTML] Smartphone sensors for health monitoring and diagnosis
S Majumder, MJ Deen - Sensors, 2019 - mdpi.com
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …
significant advances in medical science and technology, medicine as well as increased …