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Wearable monitoring systems based on Smart Fibers and Interactive Textile (SFIT) platforms combine imperceptible sensing and computing functions with an interactive communication network. The integration into clothes of bio-potential sensors for health monitoring provides daily physiological parameters through a continuous, personalized, self-made detection of vital signs and the tracking of behavioral...
Prolonged exposure to stress has been associated with chronic diseases, depression, and immune disorders. Stress perception is highly subjective. Assessment of occupational stress requires personalized physiological monitoring and timely collection of individual characterization of sources of stress. We implemented a wearable system for monitoring of occupational stress of nurses — UAHealth. Personal...
The quality of automated real-time critical care monitoring is impacted by the degree of signal artifact present in clinical data. This is further complicated when different clinical rules applied for disease detection require source data at different frequencies and different signal quality. This paper proposes a novel multidimensional framework based on service oriented architecture to support real-time...
Complex systems science has led to valuable insights regarding the care and understanding of critical illness, but has not led to fundamental improvements to care to date. Realizing the fact that there is inherent uncertainty in patient trajectory, we have developed Continuous Individual Multiorgan Variability Analysis (CIMVA) as a tool theoretically and practically designed to track the systemic...
Blood pressure (BP) response to volume depletion induced by hemodialysis (HD) treatment may be important to understand the pathophysiology of the increased mortality in HD patients with vascular calcification. In the present study a comparison between end stage renal disease (ESRD) patients affected by peripheral vascular disease (PVD) and ESRD patients without PVD was performed. Continuous blood...
We wish to save lives of patients admitted to ICUs. Their mortality is high enough based simply on the severity of the original injury or illness, but is further raised by events during their stay. We target those events that are subacute but potentially catastrophic, such as infection. Sepsis, for example, is a bacterial infection of the bloodstream, that is common in ICU patients and has a >25%...
In this paper we associate features obtained from ECG signals with the expected levels of stress of real firefighters in action when facing specific events such as fires or car accidents. Five firefighters were monitored using wearable technology collecting ECG signals. Heart rate and heart rate variability features were analyzed in consecutive 5-min intervals during several types of events. A questionnaire...
Due to recent advances in technology extensive cardiovascular monitoring is widely introduced today. An essential component of cardiovascular monitoring is the analysis of several biosignals as electrocardiogram, blood pressure and other vital signs. This manuscript provides an overview about several application fields of cardiovascular monitoring with the main focus on nonlinear dynamics analysis.
Monitoring procedures are the basis to evaluate the clinical state of patients and to assess changes in their status, thus providing necessary interventions in time. To obtain this important objective it is necessary to integrate technological development with systems performing biomedical knowledge extraction and classification. Methods extracting non linear characteristics from HRV signal are presented...
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