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The following topics are dealt: time-frequency analysis; functional magnetic resonance imaging; cancer drug delivery; glucose sensor and diabetics control; neural computing; EEG; biomechanics; biomedical information network; health care environment; optical coherence tomography; medical diagnostics device; image-guided surgery; radiation therapy; laparoscopy; circadian rhythms; rehabilitation techniques;...
The deployment of new wireless and networked technology and advanced clinical applications has significantly increased the quality and the quantity of patient diagnostic and monitoring information throughout the patient care environment. Coupled with increasing workloads and reduced staffing, the difficulties in effectively prioritizing and handling this information have resulted in a rise in equipment-related...
The deployment of new wireless and networked technology and advanced clinical applications has significantly increased the quality and the quantity of patient diagnostic and monitoring information throughout the patient care environment. Coupled with increasing workloads and reduced staffing, the difficulties in effectively prioritizing and handling this information have resulted in a rise in equipment-related...
Healthcare organizations have cycled through a number of different approaches to architectures, designs and integration strategies. The tendency is to focus on new products, but little focus is spent on event-driven architectures which coincidentally has the most impact on patient safety. This lack of focus results in diseconomy of complexity because systems and functions begin to overlap and no IT...
Healthcare organizations have cycled through a number of different approaches to architectures, designs and integration strategies. The tendency is to focus on new products, but little focus is spent on event-driven architectures which coincidentally has the most impact on patient safety. This lack of focus results in diseconomy of complexity because systems and functions begin to overlap and no IT...
Radio Frequency Identification (RFID) is an evolving technology that can utilize its capabilities within a healthcare environment to locate and track staff, equipment, and patients. RFID has the potential to significantly improve operations by actively monitoring asset flow through an organization and enabling this data to be analyzed for process improvement. It can also help to provide validation...
Radio Frequency Identification (RFID) is an evolving technology that can utilize its capabilities within a healthcare environment to locate and track staff, equipment, and patients. RFID has the potential to significantly improve operations by actively monitoring asset flow through an organization and enabling this data to be analyzed for process improvement. It can also help to provide validation...
There is a clear and present need for computer-aided auscultation of the heart which arises from the highly informative nature of heart sounds, the inherent difficulty of auscultation and increasing pressure in healthcare for rapid, accurate, objective, documented and cost-effective patient evaluation and diagnostic decision making. There are advanced signal processing technologies that hold promise...
There is a clear and present need for computer-aided auscultation of the heart which arises from the highly informative nature of heart sounds, the inherent difficulty of auscultation and increasing pressure in healthcare for rapid, accurate, objective, documented and cost-effective patient evaluation and diagnostic decision making. There are advanced signal processing technologies that hold promise...
Recent research and development activity is described in the field of textile-based wearable systems for personalized health care. Sensorized shirts for vital signs monitoring and wearable systems for gesture and posture recognition are specifically illustrated, resulting from the EU funded project my heart
Recent research and development activity is described in the field of textile-based wearable systems for personalized health care. Sensorized shirts for vital signs monitoring and wearable systems for gesture and posture recognition are specifically illustrated, resulting from the EU funded project my heart
A truly wearable non-invasive blood pressure (NIBP) sensor- light-weight, compact, unobstrusive, and essentially unnoticeable to the patient-could revolutionize healthcare delivered beyond the traditional walls of medical facilities, offering new ways to care for patients in their everyday surroundings. This paper presents results from our work towards the development of a self-contained, wearable...
A truly wearable non-invasive blood pressure (NIBP) sensor- light-weight, compact, unobstrusive, and essentially unnoticeable to the patient-could revolutionize healthcare delivered beyond the traditional walls of medical facilities, offering new ways to care for patients in their everyday surroundings. This paper presents results from our work towards the development of a self-contained, wearable...
It has been shown that remote monitoring of pulmonary activity can be achieved using ultra-wideband (UWB) systems, which shows promise in home healthcare, rescue, and security applications. In this paper, a geometry-based statistical channel model is developed for simulating the reception of UWB signals in the indoor propagation environment. This model enables replication of time-varying multipath...
It has been shown that remote monitoring of pulmonary activity can be achieved using ultra-wideband (UWB) systems, which shows promise in home healthcare, rescue, and security applications. In this paper, a geometry-based statistical channel model is developed for simulating the reception of UWB signals in the indoor propagation environment. This model enables replication of time-varying multipath...
This study is included in the framework of Health Smart Homes which monitor some physiological or not physiological parameters of elderly people living independently at home. In this study we will focus on the walk detection. Walk activity is one parameter to evaluate the health of patient. For example, the total time of walk during a day allows assessing quickly if the subject is mobile rather than...
This study is included in the framework of Health Smart Homes which monitor some physiological or not physiological parameters of elderly people living independently at home. In this study we will focus on the walk detection. Walk activity is one parameter to evaluate the health of patient. For example, the total time of walk during a day allows assessing quickly if the subject is mobile rather than...
This paper presents a system based on ambient intelligence (AmI) to foster home care monitoring of senior citizens and chronically ill patients. The most important fact addressed in this research is the development of non intrusive and easy to use sensing devices. According to this, medical tests do not need user collaboration to perform them, neither powering on and off the sensor, starting the measure,...
This paper presents a system based on ambient intelligence (AmI) to foster home care monitoring of senior citizens and chronically ill patients. The most important fact addressed in this research is the development of non intrusive and easy to use sensing devices. According to this, medical tests do not need user collaboration to perform them, neither powering on and off the sensor, starting the measure,...
Artificial neural networks can be trained to predict outcomes in a neonatal intensive care unit (NICU). This paper expands on past research and shows that neural networks trained by the maximum likelihood estimation criterion will approximate the `a posteriori probability' of NICU mortality. A gradient ascent method for the weight update of three-layer feed-forward neural networks was derived. The...
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