A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life

Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as “after cancer treatment”. Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a challenging task. Sometimes, a cancer patient’s situation changes abruptly as the functionality of certain organs deteriorates, which affects their QoL. One way of knowing the physiological functional status of a cancer patient is to design an occupational therapy. In this paper, we propose a blockchain and off-chain-based framework, which will allow multiple medical and ambient intelligent Internet of Things sensors to capture the QoL information from one’s home environment and securely share it with their community of interest. Using our proposed framework, both transactional records and multimedia big data can be shared with an oncologist or palliative care unit for real-time decision support. We have also developed blockchain-based data analytics, which will allow a clinician to visualize the immutable history of the patient’s data available from an in-home secure monitoring system for a better understanding of a patient’s current or historical states. Finally, we will present our current implementation status, which provides significant encouragement for further development

Human motion analysis and simulation tools: a survey

Computational systems to identify objects represented in image sequences and tracking their motion in a fully automatic manner, enabling a detailed analysis of the involved motion and its simulation are extremely relevant in several fields of our society. In particular, the analysis and simulation of the human motion has a wide spectrum of relevant applications with a manifest social and economic impact. In fact, usage of human motion data is fundamental in a broad number of domains (e.g.: sports, rehabilitation, robotics, surveillance, gesture-based user interfaces, etc.). Consequently, many relevant engineering software applications have been developed with the purpose of analyzing and/or simulating the human motion. This chapter presents a detailed, broad and up to date survey on motion simulation and/or analysis software packages that have been developed either by the scientific community or commercial entities. Moreover, a main contribution of this chapter is an effective framework to classify and compare motion simulation and analysis tools

Shear-promoted drug encapsulation into red blood cells: a CFD model and μ-PIV analysis

The present work focuses on the main parameters that influence shear-promoted encapsulation of drugs into erythrocytes. A CFD model was built to investigate the fluid dynamics of a suspension of particles flowing in a commercial micro channel. Micro Particle Image Velocimetry (μ-PIV) allowed to take into account for the real properties of the red blood cell (RBC), thus having a deeper understanding of the process. Coupling these results with an analytical diffusion model, suitable working conditions were defined for different values of haematocrit

A review of computer vision-based approaches for physical rehabilitation and assessment

The computer vision community has extensively researched the area of human motion analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture recognition and so on. However for many applications, like monitoring of functional rehabilitation of patients with musculo skeletal or physical impairments, the requirement is to comparatively evaluate human motion. In this survey, we capture important literature on vision-based monitoring and physical rehabilitation that focuses on comparative evaluation of human motion during the past two decades and discuss the state of current research in this area. Unlike other reviews in this area, which are written from a clinical objective, this article presents research in this area from a computer vision application perspective. We propose our own taxonomy of computer vision-based rehabilitation and assessment research which are further divided into sub-categories to capture novelties of each research. The review discusses the challenges of this domain due to the wide ranging human motion abnormalities and difficulty in automatically assessing those abnormalities. Finally, suggestions on the future direction of research are offered

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

A systematic review of game technologies for pediatric patients

[EN] Children in hospital are subjected to multiple negative stimuli that may hinder their development and social interactions. Although game technologies are thought to improve children's experience in hospital, there is a lack of information on how they can be used effectively. This paper presents a systematic review of the literature on the existing approaches in this context to identify gaps for future research. A total of 1305 studies were identified, of which 75 were thoroughly analyzed according to our review protocol. The results show that the most common approach is to design mono-user games with traditional computers or monitor-based video consoles, which serve as a distractor or a motivator for physical rehabilitation for primary school children undergoing fearful procedures such as venipuncture, or those suffering chronic, neurological, or traumatic diseases/injures. We conclude that, on the one hand, game technologies seem to present physical and psychological benefits to pediatric patients, but more research is needed on this. On the other hand, future designers of games for pediatric hospitalization should consider: 1. The development for kindergarten patients and adolescents, 2. Address the psychological impact caused by long-term hospitalization, 3. Use collaboration as an effective game strategy to reduce patient isolation, 4. Have purposes other than distraction, such as socialization, coping with emotions, or fostering physical mobility, 5. Include parents/caregivers and hospital staff in the game activities; and 6. Exploit new technological artifacts such as robots and tangible interactive elements to encourage intrinsic motivation.This work is supported by the Spanish Ministry of Economy and Competitiveness and the European Development Regional Fund (EDRF-FEDER) with Project TIN2014-60077-R.El Jurdi, S.; Montaner-Marco, J.; García Sanjuan, F.; Jaén Martínez, FJ.; Nácher-Soler, VE. (2018). A systematic review of game technologies for pediatric patients. Computers in Biology and Medicine. 97:89-112. https://doi.org/10.1016/j.compbiomed.2018.04.019S891129