The thesis have given the introduction of the essentials to examination technique and related medical equipments of the human body physiology information, detailed discuss the USB2.0 interface, realized the high-speed transmit data and realized a control core of 89C52 CPU about the single and the equipment, AD9842 high-speed A/D conversion achieved the collection and conversion of medical physiology signal in this system, we give some software program and parts of procedures codes.
If the physiology's signal collects system combine other type sensors, we can collect more physiology signal to analyze, it can be used for the experiment teaching, also can be used as a tool of development of medical equipments.
The system design is divided into primarily the data transmission module and the database managed module two parts to proceed under the Visual C++6.0 circumstance. The system completes primarily the function of the physiology signal real-time collects,data communications. data saving, real-time display, return back to display ,information manages,data dispose etc.
Physiologically sensor controlled systems are using a physiological signal that is closely correlated to the metabolic demand.
Physiological signal analyses of frictional sound by structural parameters of warp knitted fabrics
However, higher field strengths are preferable for the assessment of smaller structures with physiological signal differences; this may imply better detection of small lesions at higher field strengths.
The physiological signal for torpor initiation appears to be related to fuel availability.
We have also investigated complexity of physiological signal and randomized noisy data.
The method introduced here can also be applied to other medium-sized and noisy physiological signals.
Mean skin temperature and physiological signals such as Electroencephalogram (EEG), and heart rate (Electrocardiogram, (ECG)) were examined for 20 minutes during stable wearing conditions.
Recently, it has been recognized that mRNA can also sense physiological signals other than temperature.
In the large amoeboid organism Physarum, biochemical oscillators are spatially distributed throughout the organism and their collective motion exhibits phase waves, which carry physiological signals.
The lucid and transparent way in which this real function displays the temporal as well as the spectral characteristics of a real signal, make it a powerful tool in the analysis of time-varying physiological signals.