Development a polymer-based electronic pulse diagnosis instrument for measuring and analyzing pulse wave velocity.

A novel pulse-diagnosis system was proposed in this study for measuring pulse wave velocities. In contrast with most conventional mechanical, rigid-type pulse diagnosis instruments such as pressure transducers and microactuators, a conductive elastic polymer was adopted as the sensor material. The soft and formability properties of such material enabled fabricating a flexible pulse diagnosis instrument. In addition, the flexible design was integrated with a contemporary, wrist-type pulse-wave acquisition system to ensure stable measurements. Closely related to the incidence of cardiovascular diseases, pulse wave velocity was analyzed in applications to verify the feasibility of this system. Regarding signal processing, the cun, guan, and chi pulse signals obtained through the data acquisition device were sent to the LabVIEW platform for reconstructing the pulse waveforms. Finally, the results of 20 measured samples were compared and analyzed to evaluate the level of system performance.

Design intelligent wheelchair with ECG measurement and wireless transmission function.

The phenomenon of aging populations has produced widespread health awareness and magnified the need for improved medical quality and technologies. Statistics show that ischemic heart disease is the leading cause of death for older people and people with reduced mobility; therefore, wheelchairs have become their primary means of transport. Hence, an arrhythmia-detecting smart wheelchair was proposed in this study to provide real-time electrocardiography (ECG)-monitoring to patients with heart disease and reduced mobility. A self-developed, handheld ECG-sensing instrument was integrated with a wheelchair and a lab-written, arrhythmia-detecting program. The measured ECG data were transmitted through a Wi-Fi module and analyzed and diagnosed using the human-machine interface.

Development a polymer-based electronic pulse diagnosis instrument for measuring and analyzing pulse wave velocity.

A novel pulse-diagnosis system was proposed in this study for measuring pulse wave velocities. In contrast with most conventional mechanical, rigid-type pulse diagnosis instruments such as pressure transducers and microactuators, a conductive elastic polymer was adopted as the sensor material. The soft and formability properties of such material enabled fabricating a flexible pulse diagnosis instrument. In addition, the flexible design was integrated with a contemporary, wrist-type pulse-wave acquisition system to ensure stable measurements. Closely related to the incidence of cardiovascular diseases, pulse wave velocity was analyzed in applications to verify the feasibility of this system. Regarding signal processing, the cun, guan, and chi pulse signals obtained through the data acquisition device were sent to the LabVIEW platform for reconstructing the pulse waveforms. Finally, the results of 20 measured samples were compared and analyzed to evaluate the level of system performance.