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Reliable and Energy Efficient Communications for Wireless Biomedical Implant Systems

Reliable and Energy Efficient Communications for Wireless Biomedical Implant Systems

In this paper, a biotelemetry communication scheme is considered, consisting of an implant device and wearable on‐body devices for relaying the information to an off‐body access point. Due to the strict power limitations of the implanted device, the utilization of a wearable device is necessary for forwarding the sensed information to an off‐body access point, while the location of the wearable relays on the human body plays a crucial role for the provided QoS and the power consumption of the implant device. In this way, the complexity and power consumption are transferred from the implant device to the on‐body relay, which is an efficient approach since the latter can be easily replaced, in contrast to the in‐body implant.

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Experimental investigation of the influence of the aortic stiffness on hemodynamics in the ascending aorta

Experimental investigation of the influence of the aortic stiffness on hemodynamics in the ascending aorta

A three-dimensional pulsatile aortic flow in a human ascending aorta is studied to investigate the effect of the aortic stiffness on the flow field and turbulent fluctuating velocities in the ascending aorta. A non-intrusive optical measurement technique, 3D Particle Tracking Velocimetry (3D-PTV), has been applied to anatomically accurate phantoms under clinically realistic conditions. Our results revealed that the aortic stiffness leads to an increase in systolic velocity and a decrease in the Windkessel effect, which is associated with the diastolic blood pressure. Furthermore, we found that the turbulent kinetic energy is about an order of magnitude higher for the rigid aorta, that is, an increase in aortic stiffness increases the magnitude of turbulent fluctuating velocities.

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Gait and Balance Analysis for Patients with Alzheimer’s Disease Using an Inertial-Sensor-Based Wearable Instrument

Gait and Balance Analysis for Patients with Alzheimer’s Disease Using an Inertial-Sensor-Based Wearable Instrument

Based on an inertial-sensor-based wearable device, this paper develops gait and balance analyzing algorithms to obtain quantitative measurements and explores the essential indicators from the measurements for AD diagnosis. The gait analyzing algorithm is composed of stride detection followed by gait cycle decomposition so that gait parameters are developed from the decomposed gait details. These devised gait and balance parameters were explored on twenty-one AD patients and fifty healthy controls. The results obtained from this paper suggest that the inertial-sensor-based wearable device reveals promising potential for gait and balance capability analysis and is worth of further in-depth research to identify gait and balance parameters in mild AD patients, so as to be served as indicators…

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Exploiting wearable goniometer technology for motion sensing gloves

Exploiting wearable goniometer technology for motion sensing gloves

Focusing on hand function and its recovery, this paper presents an innovative wearable kinesthetic glove realized with knitted piezoresistive fabric (KPF) sensor technology. The glove is conceived to capture hand movement and gesture by using KPF in a double layer configuration working as angular sensors (goniometers). The sensing glove prototype is endowed by three KPF goniometers, used to track flexion and extension movements of metacarpo-phalangeal joint of thumb, index and middle fingers. The angular error, evaluated through the standard Bland Altman analysis, has been estimated in ± 3 degrees, which is slightly less accurate than commercial electro-goniometers.

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About This Journal

IEEE Journal of Biomedical and Health Informatics (J-BHI) publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine. Papers must contain original content in theoretical analysis, methods, technical development, and/or novel clinical applications of information systems.

Retitled from the IEEE Transactions on Information Technology in Biomedicine (T-ITB) in 2013, the J-BHI is one of the leading journals in computer science and information systems with a strong interdisciplinary focus and biomedical and health application emphasis. Topics covered by J-BHI include, but are not limited to: acquisition, transmission, storage, retrieval, management, processing and analysis of biomedical and health information; applications of information and communication technologies to the practice of healthcare, personal well-being, preventive care and early diagnosis of diseases, and discovery of new therapies and patient specific treatment protocols; and integration of electronic medical and health records, methods of longitudinal data analysis, data mining and knowledge discovery tools.

Manuscripts may deal with these applications and their integration, such as clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body senor networks, informatics in biological and physiological systems, personalized and pervasive health technologies (telemedicine, u-, p-, m- and e-Health) for public health, home healthcare and wellness management. Topics related to integration include interoperability, protocol-based patient care, evidence-based medicine, and methods of secure patient data.

Papers published by J-BHI are typically organised under section headings of Bioinformatics, Imaging Informatics, Sensor Informatics, Medical Informatics, and Public Health Informatics. These are complemented by managed special issues/sections covering topics that are of strategic importance to the journal, coordinated by guest editors who are leading experts in these fields. We particularly encourage large cohort studies with clearly demonstrated clinical translational values supplemented by online data sets or algorithms that can be shared by the research community.

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