No abstract

People's daily life is changing with the rapid development of industrial technology and enhancing quality of life. The products of healthcare industry are unconsciously integrated into our living environment. The growing interest in health monitoring during daily life has lead to many researchers on non-conscious biological signal measurements. In this paper, we propose the smart toilet equipment which can measure several physiological parameters including ECG, body weight and body fat ratio and also provide health management function. The electrodes mounted on the smart toilet seat are used for measuring ECG and bioelectrical impedance. The other is the hand-held electrode device for obtaining total boy bioelectrical impedance. The measured bioelectrical impedance and standard body fat ratio from 86 volunteers are obtained to establish estimate formula between of body fat and bioelectrical impedance and the square of correlation coefficient is 0.8682. We have developed an activity shaft device without the influence of the lateral force. The resulting average weight of the ratio of maximum and minimum in different load location was is 1.007. These physiological signals are transmitted to the remote server via blue-tooth wireless interface. Whether the local side or the remote server end, the system also provides the friendly graphic user interface.

A noncontact ECG monitoring and analysis system was developed using capacitive-coupled device integrated to a home sofa. Electrodes were placed on the backrest of a sofa separated from the body with only the chair covering and the user's clothing. The study also incorporates measurements using different fabric materials, and a pure cotton material was chosen to cover the chair's backrest. The material was chosen to improve the signal to noise ratio. The system is initially implemented on a home sofa and is able to measure non-contact ECG through thin cotton clothing and perform heart rate analysis to calculate the heart rate variability (HRV) parameters. It was also tested under different conditions and results from reading and sleeping exhibited a stable ECG. Subsequently, results from our calculated HRV were found to be identical to those of a commercially available HRV analyzer. However, HRV parameters are easily affected by motion artifacts generated during drinking or eating with the latter producing a more severe disturbance. Lastly, parameters measured are saved on a cloud database, providing users with a long-term monitoring and recording for physiological information.