Automatic heart rate detection from FBG sensors using sensor fusion and enhanced empirical mode decomposition

International audienceCardiovascular diseases are the world's top leading causes of death. Real time monitoring of patients who have cardiovascular abnormalities can provide comprehensive and preventative health care. We investigate the role of the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and sensor fusion for automatic heart rate detection from a mat with embedded Fiber Bragg Grating (FBG) sensor arrays. The fusion process is performed in the time domain by averaging the readings of the sensors for each sensor array. Subsequently, the CEEMDAN is applied to obtain the interbeat intervals. Experiments are performed with 10 human subjects (males and females) lying on two different positions on a bed for a period of 20 minutes. The overall system performance is assessed against the reference ECG signals. The average and standard deviation of the mean relative absolute error are 0.049, 0.019 and 0.047, 0.038 for fused and best sensors respectively. Sensor fusion together with CEEMDAN proved to be robust against motion artifacts caused by body movements

Technical Development and Clinical Evaluation of Intelligent Continence Management System at Nursing Home

International audienceUrinary incontinence and diaper use is common among elderly people with dementia staying at nursing homes. Delays in timely diaper change will cause personal, social and economic ramifications to those elderly as well as to the carers who provide nursing care. In order to alleviate these daily care issues, an intelligent continence management system leveraging on sensors, pervasive sensor network, ambient intelligence and reminders is designed and developed. Clinical trial is conducted with multiple elderly people with dementia at a nursing home to evaluate the applicability and usefulness of the developed system. The analysis of trial outcomes and usability studies proves that this will be a feasible and effective approach to tackle the problems faced in managing incontinence effectively at nursing home

Plan recognition based on sensor produced micro-context for eldercare

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