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Nada Philip
Nada Philip
Associate Professor, Kingston university
Verified email at kingston.ac.uk
Title
Cited by
Cited by
Year
The potential of Internet of m-health Things “m-IoT” for non-invasive glucose level sensing
RSH Istepanian, S Hu, NY Philip, A Sungoor
2011 annual international conference of the IEEE engineering in medicine and …, 2011
3712011
Internet of Things for in-home health monitoring systems: Current advances, challenges and future directions
NY Philip, JJPC Rodrigues, H Wang, SJ Fong, J Chen
IEEE Journal on Selected Areas in Communications 39 (2), 300-310, 2021
1672021
Medical QoS provision based on reinforcement learning in ultrasound streaming over 3.5 G wireless systems
RSH Istepanian, NY Philip, MG Martini
IEEE Journal on Selected areas in Communications 27 (4), 566-574, 2009
992009
Optimizing cancer care through mobile health
B Odeh, R Kayyali, S Nabhani-Gebara, N Philip
Supportive Care in Cancer 23, 2183-2188, 2015
782015
A feasibility study of mobile phone text messaging to support education and management of type 2 diabetes in Iraq
NS Haddad, R Istepanian, N Philip, FAK Khazaal, TA Hamdan, T Pickles, ...
Diabetes technology & therapeutics 16 (7), 454-459, 2014
752014
Implementing a telehealth service: nurses’ perceptions and experiences
B Odeh, R Kayyali, S Nabhani-Gebara, N Philip
British Journal of Nursing 23 (21), 1133-1137, 2014
732014
Features of a mobile support app for patients with chronic obstructive pulmonary disease: literature review and current applications
DD Sobnath, N Philip, R Kayyali, S Nabhani-Gebara, B Pierscionek, ...
JMIR mHealth and uHealth 5 (2), e4951, 2017
692017
Cross-layer ultrasound video streaming over mobile WiMAX and HSUPA networks
A Alinejad, NY Philip, RSH Istepanian
IEEE transactions on Information Technology in Biomedicine 16 (1), 31-39, 2011
622011
Internet of m-health Things “m-IoT”
RSH Istepanian, A Sungoor, A Faisal, N Philip
IET Seminar on Assisted Living 2011, 1-3, 2011
572011
COPD care delivery pathways in five European Union countries: mapping and health care professionals’ perceptions
R Kayyali, B Odeh, I Frerichs, N Davies, E Perantoni, S D’arcy, AW Vaes, ...
International journal of chronic obstructive pulmonary disease, 2831-2838, 2016
532016
Subjective and objective quality assessment in wireless teleultrasonography imaging
RSH Istepanian, N Philip, MG Martini, N Amso, P Shorvon
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
522008
WELCOME—innovative integrated care platform using wearable sensing and smart cloud computing for COPD patients with comorbidities
I Chouvarda, NY Philip, P Natsiavas, V Kilintzis, D Sobnath, R Kayyali, ...
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
442014
5G enabled mobile healthcare for ambulances
MA Usman, NY Philip, C Politis
2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019
432019
Robust multilayer control for enhanced wireless telemedical video streaming
MG Martini, RSH Istepanian, M Mazzotti, N Philip
IEEE Transactions on Mobile Computing 9 (1), 5-16, 2009
432009
Small cell-based ambulance scenario for medical video streaming: A 5G-health use case
IU Rehman, MM Nasralla, A Ali, N Philip
2018 15th International conference on smart cities: Improving quality of …, 2018
412018
Cross-layer design for optimized region of interest of ultrasound video data over mobile WiMAX
CJ Debono, BW Micallef, NY Philip, A Alinejad, RSH Istepanian, ...
IEEE Transactions on Information Technology in Biomedicine 16 (6), 1007-1014, 2012
412012
Big Data and diabetes: the applications of Big Data for diabetes care now and in the future
JMM Rumbold, M O'Kane, N Philip, BK Pierscionek
Diabetic Medicine 37 (2), 187-193, 2020
392020
A mobile diabetes management and educational system for type-2 diabetics in Saudi Arabia (SAED)
MM Alotaibi, R Istepanian, N Philip
Mhealth 2, 2016
392016
Design and usability evaluation of social mobile diabetes management system in the Gulf Region
T Alanzi, R Istepanian, N Philip
JMIR research protocols 5 (3), e4348, 2016
382016
Time series classification-based correlational neural network with bidirectional LSTM for automated detection of kidney disease
N Bhaskar, M Suchetha, NY Philip
IEEE Sensors Journal 21 (4), 4811-4818, 2020
372020
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