Browsing by Author "Istepanian, Robert S H"
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- ItemClinical trials and evaluation of a mobile, robotic tele-ultrasound system.(2005-07-22) Courreges, Fabien; Vieyres, Pierre; Istepanian, Robert S H; Arbeille, Philippe; Bru, ConxitaWe have developed a robotic tele ultrasound system OTELO that allows an expert to examine a distant patient by ultrasound At the expert station a sonographer controls a virtual probe Movements are reproduced at the patient station which may be several kilometres away on a real probe held by a lightweight robot which is positioned on the patient by a paramedic Two medical teams tested the tele ultrasound system at two different hospitals on a total of 52 patients Except for some difficulties caused by particular conditions the diagnosis obtained with the remote scanning system agreed in at least 80 of the cases with the diagnosis made by conventional scanning The results demonstrate the feasibility and efficiency of the device
- ItemA cross-layer approach for wireless medical video streaming in robotic teleultrasonography.(2007-11-16) Martini, Maria G; Istepanian, Robert S H; Mazzotti, Matteo; Philip, NadaM health is an emerging area of research integrating emerging wireless technologies with healthcare systems One of the key challenges in future research in this area especially from the communications perspective is medical video streaming over 3G and 4G systems In this paper video streaming in a robotic teleultrasonography system through a cross layer approach based on tailor made controller structures is presented Simulation results of the proposed system demonstrate the successful performance of the proposed controller structures in this advanced mobile telemedical environment
- ItemDesign and evaluation of a wireless decision-support system for heart rate variability study in haemodialysis follow-up procedures.(2007-11-23) García, Jose; Trigo, Jesús D; Alesanco, Alvaro; Serrano, Pedro; Mateo, Javier; Istepanian, Robert S HIn this paper a new wireless decision support system for haemodialysis patients using heart rate variability HRV is presented The telemedicine system provides connectivity to three participant sites the general practitioner or nurse at the point of care in the dialysis unit the remote information and processing server and the cardiologist At the clinical point of care the nurse acquires the electrocardiogram ECG by using a tailored mobile telecardiology system as well as other relevant physiological information during the clinical procedure and sends it to the information server The received information is stored in a secure file server linked to the patient database and the ECG signal is automatically analyzed by using advanced signal processing tools in the processing server where a complete clinical results report is generated The cardiologist can then be linked by means of a web browser to the information server to analyze these results for further clinical diagnosis support The system has been applied to study HRV in patients undergoing haemodialysis The clinical report consisted of trends for time and frequency domain HRV indexes and other supplementary information automatically calculated which show the response of the electrical activity of the heart to the dialysis process and that can be helpful for the follow up of these patients The telecardiology framework has been successfully evaluated both by the patients and the hospital personnel showing a high compliance with the system The design and implementation of the telecardiology system have followed the most recent advances in web technologies biomedical information and storage standards and signal processing techniques The presented system can be used as a telemedicine tool for clinical diagnosis support and could also be used in other clinical settings
- ItemEnhanced real-time ECG coder for packetized telecardiology applications.(2006-04-18) Alesanco, Alvaro; Olmos, Salvador; Istepanian, Robert S H; García, JoseA new real time compression method for electrocardiogram ECG signals has been developed based on the wavelet transform approach The method is specifically adaptable for packetized telecardiology applications The signal is segmented into beats and a beat template is subtracted from them producing a residual signal Beat templates and residual signals are coded with a wavelet expansion Compression is achieved by selecting a subset of wavelet coefficients The number of selected coefficients depends on a threshold which has different definitions depending on the operational mode of the coder Compression performance has been tested using a subset of ECG records from MIT BIH Arrhythmia database This method has been designed for real time packetized telecardiology scenarios both in wired and wireless environments
- ItemEvaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes.(2009-04-14) Istepanian, Robert S H; Zitouni, Karima; Harry, Diane; Moutosammy, Niva; Sungoor, Ala; Tang, Bee; Earle, Kenneth AWe conducted a randomized controlled trial using mobile health technology in an ethnically diverse sample of 137 patients with complicated diabetes Patients in the intervention group n 72 were trained to measure their blood glucose with a sensor which transmitted the readings to a mobile phone via a Bluetooth wireless link Clinicians were then able to examine and respond to the readings which were viewed with a web based application Patients in the control arm of the study n 65 did not transmit their readings and received care with their usual doctor in the outpatient and or primary care setting The mean follow up period was 9 months in each group The default rate was higher in the patients in the intervention arm due to technical problems In an intention to treat analysis there were no differences in HbA 1c between the intervention and control groups In a sub group analysis of the patients who completed the study the telemonitoring group had a lower HbA 1c than those in the control group 7 76 and 8 40 respectively P 0 06
- Itemm-Health 2.0: New perspectives on mobile health, Machine Learning and Big Data Analytics.(0000-00-00) Istepanian, Robert S H; Al-Anzi, TurkiMobile health m Health has been repeatedly called the biggest technological breakthrough of our modern times Similarly the concept of big data in the context of healthcare is considered one of the transformative drivers for intelligent healthcare delivery systems In recent years big data has become increasingly synonymous with mobile health however key challenges of Big Data and mobile health remain largely untackled This is becoming particularly important with the continued deluge of the structured and unstructured data sets generated on daily basis from the proliferation of mobile health applications within different healthcare systems and products globally The aim of this paper is of twofold First we present the relevant big data issues from the mobile health m Health perspective In particular we discuss these issues from the technological areas and building blocks communications sensors and computing of mobile health and the newly defined m Health 2 0 concept The second objective is to present the relevant rapprochement issues of big m Health data analytics with m Health Further we also present the current and future roles of machine and deep learning within the current smart phone centric m health model The critical balance between these two important areas will depend on how different stakeholder from patients clinicians healthcare providers medical and m health market businesses and regulators will perceive these developments These new perspectives are essential for better understanding the fine balance between the new insights of how intelligent and connected the future mobile health systems will look like and the inherent risks and clinical complexities associated with the big data sets and analytical tools used in these systems These topics will be subject for extensive work and investigations in the foreseeable future for the areas of data analytics computational and artificial intelligence methods applied for mobile health
- ItemMobile e-health: the unwired evolution of telemedicine.(2003-11-12) Tachakra, Sapal; Wang, X H; Istepanian, Robert S H; Song, Y HThe movement of telemedicine from desktop platforms to wireless and mobile configurations may have a significant impact on future health care This paper reviews some of the latest technologies in wireless communication and their application in health care The new technologies can make the remote medical monitoring consulting and health care more flexible and convenient But there are challenges for successful wireless telemedicine which are addressed in this paper
- ItemThe potential of m-health systems for diabetes management in post conflict regions a case study from Iraq.(2015-01-09) Istepanian, Robert S H; Mousa, Alaa; Haddad, Nazar; Sungoor, Ala; Hammadan, Thamer; Soran, Handrean; Al-Anzi, TurkiThe recent developments of m health technologies particularly in the developing world are increasing sharply due to the importance and accelerated adoption of these technologies in the developing countries However there are few if any studies on the effectiveness of mobile health in post conflict regions especially in the Middle East region In this paper we describe the design implementation and clinical outcomes of a feasibility study on mobile diabetes management in Basra Southern Iraq as an exemplar for the effectiveness of mobile health technologies for improved healthcare delivery in similar post conflict regions The key clinical outcome of this study indicated the lowering of HbA1C levels in the mobile health group indicating the potential of deploying such technologies in these regions where health resources are limited and challenging
- ItemTechnical and compliance considerations for mobile health self-monitoring of glucose and blood pressure for patients with diabetes.(2009-12-07) Istepanian, Robert S H; Sungoor, Ala; Earle, Kenneth ASelf monitoring of blood glucose is an integral part of diabetes care which may be extended to other biometrics Cellular and short range communication technologies will be important for the routine usage of these systems However the issues of follow up and patient compliance with these emerging systems have not been yet studied evaluated but could be critical to the adoption of these technologies We evaluated the impact of mobile telemonitoring on the intensification of care on blood pressure control and exposure to hyperglycaemia in patients with diabetes We randomised 137 patients with diabetes to either mobile telemonitoring n 72 or usual care patients n 65 for 9 months In this paper we present some of the clinical results with focus on blood pressure control hypertension and highlight some of the technical and compliance issues that were encountered