We designed a telemedicine system that supports collaborative work on video-images from coronary cine-angiograms and cine-ventriculograms. Two workstations were connected by ISDN at 128 kbit/s. Coronary cine-angiogram and cine-ventriculogram video-images were transmitted to an image examination workstation before the images were required for analysis (i.e. in a 'pre-fetch' operation). If one workstation changed even a single frame in a video-sequence, then the change was transmitted to the other workstation, rather than the entire video-sequence. To evaluate the performance of the system, the diagnoses made by five cardiology specialists were compared with those recorded in the original report. Coronary cine-angiogram and cine-ventriculogram video-images from 27 patients were used. The cardiologists, who were blinded to the patient information, regenerated the video-images on the workstation and assessed coronary arterial stenosis and wall motion. The kappa scores for clinician agreement with the original reports for ratings of stenosis were 0.54-0.66 and for wall motion were 0.41-0.69. The system performed reasonably reliably and it therefore appears likely to be useful in telemedicine work.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1258/135763304323070797 | DOI Listing |
BMC Cardiovasc Disord
December 2024
School of Psychology, University of Southampton, Southampton, UK.
Background: Blood pressure (BP) control following stroke is important but currently sub-optimal. This trial aimed to determine whether self-monitoring of hypertension with telemonitoring and a treatment escalation protocol, results in lower BP than usual care in people with previous stroke or transient ischaemic attack (TIA).
Methods: Unblinded randomised controlled trial, comparing a BP telemonitoring-based intervention with control (usual care) for hypertension management in 12 primary care practices in England.
Sci Rep
December 2024
Department of Communications and Electronics, Delta University for Science and Technology, Mansoura, Egypt.
Human activity recognition (HAR) is one of the most important segments of technology advancement in applications of smart devices, healthcare systems & fitness. HAR uses details from wearable sensors that capture the way human beings move or engage with their surrounding. Several researchers have thus presented different ways of modeling human motion, and some have been as follows: Many researchers have presented different methods of modeling human movements.
View Article and Find Full Text PDFSci Rep
December 2024
School of Electronic and Nanoscale Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.
In the era of the Internet of Things (IoT), the transmission of medical reports in the form of scan images for collaborative diagnosis is vital for any telemedicine network. In this context, ensuring secure transmission and communication is necessary to protect medical data to maintain privacy. To address such privacy concerns and secure medical images against cyberattacks, this research presents a robust hybrid encryption framework that integrates quantum, and classical cryptographic methods.
View Article and Find Full Text PDFPLoS One
December 2024
School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
The value of 'data-enabled', digital healthcare is evolving rapidly, as demonstrated in the COVID-19 pandemic, and its successful implementation remains complex and challenging. Harmonisation (within/between healthcare systems) of infrastructure and implementation strategies has the potential to promote safe, equitable and accessible digital healthcare, but guidance for implementation is lacking. Using respiratory technologies as an example, our scoping review process will capture and review the published research between 12th December 2013 to 12th December 2023.
View Article and Find Full Text PDFPharmacy (Basel)
December 2024
R&D for Clinical Activity in Telemedicine, Italian National Health Agency-AGENAS, 00187 Rome, Italy.
Atrial fibrillation (AF) is one of the most common cardiac arrhythmias of clinical relevance and a major cause of cardiovascular morbidity and mortality. Following a diagnosis of AF, patients are directed towards therapy with anticoagulant drugs to reduce the thromboembolic risk and antiarrhythmics to control their cardiac rhythm, with periodic follow-up checks. Despite the great ease of handling these drugs, we soon realized the need for follow-up models that would allow the appropriateness and safety of these pharmacological treatments to be monitored over time.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!