Health alerts: Interaction protocols in remote health care monitoring

Remote health care monitoring is a promising technology to make health care more efficient and cost-effective. A crucial aspect of remote health care monitoring is interaction protocols that govern how alert and information messages are delivered to patients and health care professionals. Proper interaction protocols are essential in ensuring that not only the right messages are delivered to the right receiver in a timely manner but also that the intended actions are understood and carried out and any entailed exceptions are taken care of. In this paper, we discuss various issues in designing interaction protocols for remote health care monitoring. We also present a prototype implementation of an interaction protocol. A simple case study is shown to illustrate how the prototype works in a real-life scenario. © 2010 IADIS

Implementasi Telehealth pada pasien Diabetes melitus saat pandemi Covid-19: Tinjauan sistematis

Pendahuluan:Banyak pasien Diabetes Mellitus (DM) yang tidak mendapatkan perawatan akibat dari kebijakan rumah sakit yang melakukan pengurangan kunjungan dan konsultasi untuk menghindari penularan Covid-19. ImplementasiTelehealth sudah banyak dilakukan.  Review ini bertujuan untuk mengetahui model implementasiTelehealthpada pasien Diabetes Melitus saat pandemi Covid-19. Metode:Pencarian artikel menggunakan databaseelektronik seperti Pubmed, Science direct, dan Google Scholar.Pencarian artikel yang digunakan yaitu 5 tahun terakhir. Kata kunci yang digunakan diantaranya, “Telehealth” AND “Diabetes Mellitus” AND “Pandemic Era” OR “Covid-19”. Hasil:Berdasarkan 6 artikel yang didapatkan bahwa Telehealthmerupakan implementasi yang dapat diterapkan pada masa Pandemi Covid-19 khususnya pada penderita Diabetes Melitus. Telehealth mampu menggantikan metode konsultasi tatap muka dengan mengurangi ketidakhadiran pasien (dari 21% menjadi 4%), dibandingkan sebelum pandemi, dan mampu memenuhi kebutuhan fisik maupun psikis. Selama pandemi Covid-19, estimasi waktu pelayanan kesehatan yang diberikan 75 menit berbeda saat sebelum pandemi (pasien membutuhkan waktu 175 menit. Simpulan:sistem Telehealth sebagai solusi terbaik untuk merawat pasien DM dalam mencegah tertularnya covid-19

A Home E-Health System for Dependent People Based on OSGI

This chapter presents a e-health system for dependent people installed in a home environment. After reviewing the state of art in e-health applications and technologies several limitations have been detected because many solutions are proprietary and lack interoperability. The developed home e-health system provides an architecture capable to integrate different telecare services in a smart home gateway hardware independent from the application layer. We propose a rule system to define users’ behavior and monitor relevant events. Two example systems have been implemented to monitor patients. A data model for the e-health platform is described as well.Ministerio de Educación y Ciencia TSI2006-13390-C02-0

Uranus: A Middleware Architecture for Dependable AAL and Vital Signs Monitoring Applications

The design and realization of health monitoring applications has attracted the interest of large communities both from industry and academia. Several research challenges have been faced and issues tackled in order to realize effective applications for the management and monitoring of people with chronic diseases, people with disabilities, elderly people. However, there is a lack of efficient tools that enable rapid and possibly cheap realization of reliable health monitoring applications. The paper presents Uranus, a service oriented middleware architecture, which provides basic functions for the integration of different kinds of biomedical sensors. Uranus has also distinguishing characteristics like services for the run-time verification of the correctness of running applications and mechanisms for the recovery from failures. The paper concludes with two case studies as proof of concept

PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring

Technological advances on the development of mobile devices, medical sensors, and wireless communication systems support a new generation of unobtrusive, portable, and ubiquitous health monitoring systems for continuous patient assessment and more personalized health care. There exist a growing number of mobile apps in the health domain; however, little contribution has been specifically provided, so far, to operate this kind of apps with wearable physiological sensors. The PhysioDroid, presented in this paper, provides a personalized means to remotely monitor and evaluate users’ conditions. The PhysioDroid system provides ubiquitous and continuous vital signs analysis, such as electrocardiogram, heart rate, respiration rate, skin temperature, and body motion, intended to help empower patients and improve clinical understanding. The PhysioDroid is composed of a wearable monitoring device and an Android app providing gathering, storage, and processing features for the physiological sensor data. The versatility of the developed app allows its use for both average users and specialists, and the reduced cost of the PhysioDroid puts it at the reach of most people. Two exemplary use cases for health assessment and sports training are presented to illustrate the capabilities of the PhysioDroid. Next technical steps include generalization to other mobile platforms and health monitoring devices.This work was partially supported by the Spanish CICYT Project SAF2010-20558, Junta de Andalucia Project P09-TIC-175476, and the FPU Spanish Grant AP2009-2244. This work was also supported in part by the INTERREG IV European Project WHM-Wireless Health Monitoring (I-1-02=091) and the European Commission Seventh Framework Programme FP7 Project OPENi-Open-Source, Web-Based, Framework for Integrating Applications with Social Media Services, and Personal Cloudlets under Grant no. 317883

An efficient component-based framework for intelligent home-care system design with video and physiological monitoring machineries

Abstract-This study proposes a customized and reusable component-based design framework based on the UML modeling process for intelligent home healthcare systems. All the proposed functional components are reusable, replaceable, and extensible for the system developers to implement customized home healthcare systems for different demands of patients and caregivers on healthcare monitoring aspects. The prototype design of the intelligent healthcare system based on these proposed components can provide the following features: 1). the system can monitor and record the videos of rehabilitation situations and actions of the patient by multiple CCD cameras, and the monitoring videos at different times can be accordingly stored in the archive. 2). the system can record the patient's physiological data records and the corresponding treatment plan, and these records can be stored in a XML archiving database for caregivers' review. 3). during the times for the patient to take medicine or other healing activities listed on the given treatment plan, the system can automatically alarm the patient and record the patient's treatment situations. 4). The patient's caregivers and family members can ubiquitously monitor the videos and physiological records of the patient's rehabilitation situations via the handheld mobile devices via the internet or wireless communication networks. 5). The caregivers and patients can setup the alarm machinery for the patients' physiological warning states, and once the patients' physiological states suddenly deteriorate, the module will immediately alarm the caregivers by sending notification messages to their remote mobile devices or web browsers

Design and Implementation of Multiple Control Server for Telemedicine Service

We can adapt telemedicine systems in advancement of information technology capabilities and increase of network bandwidth. The telemedicine service can be applied to a public health center, a school, a prison and islands in lacks of medical equipments and medical staffs. The telemedicine services which can be provided high quality medical services. We designed the multiple control server system consisting 3 sub-function, patients and doctors name list, network types, connection states and computer equipments. The telemedicine link configuration was decided as ‘Flowing’, or ‘By-passing’ in accordance the network type and bandwidth of patient systems or doctor systems. The multiple control server system was performed the best communication configuration over heterogeneous networks. This system was achieved high quality telemedicine services through dynamic wired and wireless networks at any time. This study represented a hybrid multimedia telemedicine system over heterogeneous networks. We expected that the designed system could provide not only the high quality services, tele-diagnosis and tele-consultation, but also the effective emergency telemedicine services to multi-patients in the heterogeneous network environments.ope

ECG reduction for wearable sensor

The transmission, storage and analysis of electrocardiogram (ECG) data in real-time is essential for remote patient monitoring with wearable ECG devices and mobile ECG contexts. However, this remains a challenge to achieve within the processing power and the storage capacity of mobile devices. ECG reduction algorithms have an important role to play in reducing the processing requirements for mobile devices, however many existing ECG reduction and compression algorithms are computationally expensive to execute in mobile devices and have not been designed for real-time computation and incremental data arrival. In this paper, we describe a computationally naive, yet effective, algorithm that achieves high ECG reduction rates while maintaining key diagnostic features including PR, QRS, ST, QT and RR intervals. While reduction does not enable ECG waves to be reproduced, the ability to transmit key indicators (diagnostic features) using minimal computational resources, is particularly useful in mobile health contexts involving power constrained sensors and devices. Results of the proposed reduction algorithm indicate that the proposed algorithm outperforms other ECG reduction algorithms at a reduction/compression ratio (CR) of 5:1. If power or processing capacity is low, the algorithm can readily switch to a compression ratio of up to 10: 1 while still maintaining an error rate below 10%