Incontinence is highly prevalent in the elderly population, especially in nursing home residents with dementia. It is a distressing and costly health problem that affects not only the patients but also the caregivers. Effective continence management is required to provide quality care, and to eliminate high labor costs and annoyances to the caregivers resulting from episodes of incontinence. This paper presents the design, development, and preliminary deployment of a smart wireless continence management system for dementia-impaired elderly or patients in institutional care settings such as nursing homes and hospitals. Specifically, the mote wireless platform was used to support the deployment of potentially large quantities of wetness sensors with wider coverage and with dramatically less complexity and cost. It consists of an intelligent signal relay mechanism so that the residents are free to move about in the nursing home or hospital and allows personalized continence management service. Preliminary results from a trial in a local nursing home are promising and can significantly improve the quality of care for patients.
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
The remote keyless system is widely used in automobile industry to lock or unlock the automobile's door, trunk, and start the ignition. It comprises a handheld key fob to be held by the driver and a set of radio transceiver devices located in the automobile. Operation commands are represented by strings of wireless signal transmitted between the key fob and the radio transceiver to realize various car operations. Because the radio signal is transmitted in proximity of open area, the remote keyless system has the possibility of exposing the key secret commands to a car thief. The operation commands which are denoted by plaintexts or even cipher texts cannot overcome this security problem. This paper proposes a new approach in which encryption of the operation commands is realized by a model of AES algorithm computed with a fixed key and a variable key. In the newly designed AES security protocol, the key fob and radio device will be engaged in the protocol interrogation after the key fob initiates a connection. The fixed key can be defined by car manufacturer or car dealer, and it is used for the encryption of handshake message and a pseudo random number (PRN). This PRN is proposed by the key fob, and will serve as the variable key. This method can effectively defeat today's common attack tricks such as brute-force key guess attack, statistics attack, masquerade attack, etc.
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