An enhanced lossless compression with cryptography hybrid mechanism for ECG biomedical signal monitoring

Due to their use in daily life situation, demand for remote health applications and e-health monitoring equipment is growing quickly. In this phase, for fast diagnosis and therapy, information can be transferred from the patient to the distant clinic. Nowadays, the most chronic disease is cardiovascular diseases (CVDs). However, the storage and transmission of the ECG signal, consumes more energy, bandwidth and data security which is faced many challenges. Hence, in this work, we present a combined approach for ECG data compression and cryptography. The compression is performed using adaptive Huffman encoding and encrypting is done using AES (CBC) scheme with a 256-bit key. To increase the security, we include Diffie-Hellman Key exchange to authenticate the receiver, RSA key generation for encrypting and decrypting the data. Experimental results show that the proposed approach achieves better performance in terms of compression and encryption on MIT-BIH ECG dataset

Cloud Security meets Telemedicine

Medical systems are potentially one domain where security is seen as an impediment to patient care and not as an essential part of a system. This is an issue for safety-critical systems where reliability and trust are essential for successful operation. Cloud computing services offer a seamless means to allow medical data to be transferred from patient to medical specialist, whilst maintaining security requirements. This paper uses a case study to investigate the use of cloud computing in a mobile application to assist with diagnostics for patients with Parkinson Disease. It was found that the developers of the app ignored security requirements and standards, preferring to focus on functionality

Digital Transformation in Healthcare

This book presents a collection of papers revealing the impact of advanced computation and instrumentation on healthcare. It highlights the increasing global trend driving innovation for a new era of multifunctional technologies for personalized digital healthcare. Moreover, it highlights that contemporary research on healthcare is performed on a multidisciplinary basis comprising computational engineering, biomedicine, biomedical engineering, electronic engineering, and automation engineering, among other areas

Soporte de tiempo real en redes inalámbricas de sensores

Esta Tesis Doctoral pretende proporcionar un mecanismo que permita crear un esquema de sincronización en Redes Inalámbricas de Sensores. El mecanismo desarrollado permitirá sincronizar una red de nodos teniendo en cuenta los gradientes de temperatura existentes en el entorno de trabajo. Con esta motivación, se ha desarrollado este trabajo, el cual presenta dos aportaciones científicas principales: La primera de ellas es la creación de un modelo matemático dependiente de la temperatura, el cual permita ajustar los diferentes desfases producidos en el oscilador del sistemas como consecuencia de las variaciones de temperatura. La segunda aportación consiste en la creación de cuatro protocolos de sincronización basados en el modelo matemático previamente citado. Los citados protocolos no sólo son capaces de mejorar el comportamiento del error de sincronización frente a cambios de temperatura, sino que además, mejoran el error de sincronización con respecto al protocolo de sincronización FTSPThis Ph. Thesis aims to provide a mechanism for synchronizing Wireless Sensor Networks. It allows the synchronization of a network under changing temperature conditions minimizing the average synchronization error. This work provides two main scientific contributions: The first one is the development of a new mathematical model based on temperature changes. Using this model, the impact of the oscillator drifts in synchronization protocols is reduced. The second contribution is the proposal of four new synchronization protocols based on the above mentioned mathematical model. Compared to FTSP, these protocols reduce the average synchronization error in all situations, especially, under temperature variations. i

Front-Line Physicians' Satisfaction with Information Systems in Hospitals

Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe

Pacific Symposium on Biocomputing 2023

The Pacific Symposium on Biocomputing (PSB) 2023 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2023 will be held on January 3-7, 2023 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2023 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field