All Outputs (5)

Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson’s Disease Patient (2020)
Journal Article
Raza, M., Awais, M., Singh, N., Imran, M., & Hussain, S. (2021). Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson’s Disease Patient. IEEE Journal on Selected Areas in Communications, 39(2), 593-602. https://doi.org/10.1109/jsac.2020.3021571

Parkinson's disease is associated with high treatment costs, primarily attributed to the needs of hospitalization and frequent care services. A study reveals annual per-person healthcare costs for Parkinson's patients to be $21,482, with an additiona... Read More about Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson’s Disease Patient.

Wireless E-Nose Sensors to Detect Volatile Organic Gases through Multivariate Analysis (2020)
Journal Article
Rahman, S., Alwadie, A. S., Irfan, M., Nawaz, R., Raza, M., Javed, E., & Awais, M. (2020). Wireless E-Nose Sensors to Detect Volatile Organic Gases through Multivariate Analysis. Micromachines, 11(6), 597. https://doi.org/10.3390/mi11060597

Gas sensors are critical components when adhering to health safety and environmental policies in various manufacturing industries, such as the petroleum and oil industry; scent and makeup production; food and beverage manufacturing; chemical engineer... Read More about Wireless E-Nose Sensors to Detect Volatile Organic Gases through Multivariate Analysis.

Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living (2020)
Journal Article
Rahman, S., Irfan, M., Raza, M., Moyeezullah Ghori, K., Yaqoob, S., & Awais, M. (2020). Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living. International Journal of Environmental Research and Public Health, 17(3), Article 1082. https://doi.org/10.3390/ijerph17031082

Physical activity is essential for physical and mental health, and its absence is highly associated with severe health conditions and disorders. Therefore, tracking activities of daily living can help promote quality of life. Wearable sensors in this... Read More about Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living.

An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment (2019)
Journal Article
Awais, M., Raza, M., Ali, K., Ali, Z., Irfan, M., Chughtai, O., Khan, I., Kim, S., & Ur Rehman, M. (2020). An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. Sensors, 19(11), Article 2498. https://doi.org/10.3390/s19112498

The lack of healthcare staff and increasing proportions of elderly population is alarming. The traditional means to look after elderly has resulted in 255,000 reported falls (only within UK). This not only resulted in extensive aftercare needs and su... Read More about An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment.

Physical Activity Classification for Elderly People in Free-Living Conditions (2018)
Journal Article
Awais, M., Chiari, L., Ihlen, E. A. F., Helbostad, J. L., & Palmerini, L. (2019). Physical Activity Classification for Elderly People in Free-Living Conditions. IEEE Journal of Biomedical and Health Informatics, 23(1), 197-207. https://doi.org/10.1109/jbhi.2018.2820179

Physical activity is strongly linked with mental and physical health in the elderly population and accurate monitoring of activities of daily living (ADLs) can help improve quality of life and well-being. This study presents and validates an inertial... Read More about Physical Activity Classification for Elderly People in Free-Living Conditions.