Kostas Giokas

A survey on an ingestible sensor for evaluating medication adherence in elderly people

In this paper, we describe an ingestible sensor system to evaluate medication adherence in elderly people. After drug ingestion, an ingestible sensor, attached on the pill, is activated upon contact with gastric fluid and communicates with a wearable monitor that records ingestion data. The monitor records biometric data (e.g. heart rate, blood pressure) and communicates with a secured server, via cellular phone, for storage and further process. Summary reports can be generated back to the phone or potentially to anyone involved with the aged person caring. Clinical research trials proved the effectiveness of the Ingestible Sensor System in evaluating medication adherence.

Smart adaptable system for older adults' Daily Life Activities Management - The ABLE platform.

In this paper we propose a system (ABLE) that will act as the main platform for a number of low-cost, mature technologies that will be integrated in order to create a dynamically adaptive Daily Life Activities Management environment in order to facilitate the everyday life of senior (but not exclusively) citizens at home. While the main target group of ABLEs users is the ageing population its use can be extended to all people that are vulnerable or atypical in body, intellect or emotions and are categorized by society as disabled. The classes of assistive products that are well defined in the international standard, ISO9999 such as assistive products for personal medical treatment, personal care and protection, communication, information and reaction and for personal mobility, will be easily incorporated in our proposed platform. Furthermore, our platform could integrate and implement the above classes under several service models that will be analyzed further.

Monitoring of compliance on an individual treatment through mobile innovations

The present work examines the potential of the usage of smartphones in order to offer health services to elderly patients. The purpose of this work is the design, development, and implementation of a telemedicine application. This application aims to improve the monitoring mode and increase patient adherence to the instructions assigned by the medical staff. It consists of three parts: the doctors application (Web Application), the patients application (Android Application) and the Web Server of the platform, where the database is stored necessary for the smooth operation of the platform. Also the Web Server hosts the doctors Web Application. The Web Application is based on web front-end technologies, providing the medical personnel with a variety of features and useful actions. These actions and capabilities are mainly relevant to the assignment of instructions to patients and the monitoring of the progress of their health. The Android Application has been implemented for the operating system of Android-based mobile devices and consists of a handy and user-friendly environment, equipped with the right tools so that the patient has the ability to update the system on the progress of his/her health by storing the appropriate medical measurements. Both applications also provide customization capabilities to the profile of patients and doctors.

A Fall Prevention System for the Elderly: Preliminary Results

The fall prevention in the elderly population is a field of growing interest. This paper presents the preliminary results of a fall prevention system based on a customized exergame program. Results show that the participants involved in the experiments evaluate positively the system usability. Moreover, in order to evaluate the efficiency of the system, a global improvement of around 8.8% has been observed in the postural response after just two sessions with the system.

ACESO: Analysis of Cervical Cancer: An Evidence-Based Treatments Optimization

Deciding for Cervical Cancer (CxCa) treatment is not a simple task. There are several competing factors that arise from the perspective of survival, treatment, toxicity, quality of patient’s life, as well as the geographic location of the patient, which indicates access to specific healthcare resources. All of these factors play a significant role in the ultimate decision to pursue surgery, chemotherapy, and radiation therapy. Our aim is to develop an integrated platform incorporating a big data analytics (BDA) platform, enabling the collection and analysis of heterogeneous data related to the effectiveness of existing interventions and to the discovery of more effective techniques.

An Internet of Things platform architecture for supporting ambient assisted living environments

Internet of Things (IoT) is the logical further development of todays Internet, enabling a huge amount of devices to communicate, compute, sense and act. IoT sensors placed in Ambient Assisted Living (AAL) environments, enable the context awareness and allow the support of the elderly in their daily routines, ultimately allowing an independent and safe lifestyle. The vast amount of data that are generated and exchanged between the IoT nodes require innovative context modeling approaches that go beyond currently used models. Current paper presents and evaluates an open interoperable platform architecture in order to utilize the technical characteristics of IoT and handle the large amount of generated data, as a solution to the technical requirements of AAL applications.

Smart Adaptable System for Older Adults’ Daily Life Activities Management

In this paper we propose a system that will act as the main platform for a number of low-cost, mature technologies that will be integrated in order to create a dynamically adaptive Daily Life Activities Management environment in order to facilitate the everyday life of senior (but not exclusively) citizens at home. While the main target group of platform’s users is the ageing population its use can be extended to all people that are vulnerable or atypical in body, intellect or emotions and are categorized by society as disabled. The classes of assistive products that are well defined in the international standard, ISO9999 such as assistive products for personal medical treatment, personal care and protection, communication, information and reaction and for personal mobility, will be easily incorporated in our proposed platform. Furthermore, our platform could integrate and implement the above classes under several service models that will be analyzed further.

mHealth Ecosystem Based of a Non-invasive Commercial Hemodynamic Monitoring System Used for Heart Failure Patients, as Portable Point of Care

This chapter presents a mobile application (mhealth) for the remote management of heart failure patients. It is based on data acquisition from a commercial (ClearSight System—Edwards Lifesciences®) non-invasive hemodynamic monitoring device. If a problem is detected, physicians and/or hospitals will be alerted immediately by the system for the exact problem. Its main purpose is to be used outside of intensive care units which to date is the main area where heart failure patients are monitored. Since the intensive care units and even the hospitals in general, are overloaded the need of decongestion has arisen. With this application, the heart failure patients wcan be monitored in many cases, even at home. This obviously offers a great relief in hospitals and consequently significant savings to the economy.

Emerging mHealth Ecosystems Based on Innovative Technologies and Services

The single most important reason for the existence of healthcare provision is the constant improvement of the quality of care given to the patients. Based on this notion and the fact that modern day healthcare provision requires a multidisciplinary approach and relies heavily on various interrelated technologies we need to build/establish/turn on a system that will be in constant use and will reshape standard clinical practice.

Σkynet: A Novel Biologically Inspired Near Extinction Reconstruction Model

The present work aims to develop a fundamentally novel computational model for reconstructing complex software systems, following some massive internal failure or external infrastructure damage. The present model mimics the biological process of information transmission in terms of transcription and subsequent translation, introducing novel terms such as pre-code and computational RNA.