scholarly journals Research on feature mining algorithm and disease diagnosis of pulse signal based on piezoelectric sensor

2021 ◽  
pp. 100717
Author(s):  
Jincheng Zhang ◽  
Lin Fan ◽  
Zhongmin Wang ◽  
Ruiling Yao ◽  
Xiaokang Zhang ◽  
...  
Keyword(s):  
Pulse Signal ◽  
Piezoelectric Sensor ◽  
Disease Diagnosis ◽  
Mining Algorithm ◽  
Feature Mining

The Design of Pulse Detection System

2013 ◽  
Vol 391 ◽  
pp. 307-310
Author(s):  
Lian Li ◽  
Kai Li
Keyword(s):  
Virtual Instrument ◽  
Detection System ◽  
Pulse Signal ◽  
Piezoelectric Sensor ◽  
Physiological Characteristic ◽  
Signal Acquisition ◽  
Pulse Waveform ◽  
Development Cycle ◽  
Set Up ◽  
Hardware Circuit

Because the existing pulse signal acquisition system cannot measure pulse pressure accurately, this article designs a hardware circuit which adopts AT89C51 as the core to adjust pulse signal condition by acquiring pulse signal with the piezoelectric sensor. The system can filter the noise of signal through wavelet transform. Combining with virtual instrument technology, the circuit can manage and display the pulse waveform smoothly, and finish abnormal alarm and spectrum analysis, etc. A pulse waveform database is set up, which lays the foundation for extracting the waveform characteristics to analyze humans physiological characteristic. Compared with traditional instrument, the new system hardware is based on the development of virtual instrument, which greatly shortens the development cycle and cost, having the characteristics of versatility and ease of development maintenance.

Use of TEM in Plant Disease Diagnosis: A Xylem-Limited Bacterium Associated with Diseased ‘Toronto’ Creeping Bentgrass

1981 ◽  
Vol 39 ◽  
pp. 414-415
Author(s):  
Karen K. Baker ◽  
David L. Roberts
Keyword(s):  
Osmium Tetroxide ◽  
Plant Disease ◽  
Leaf Tissue ◽  
Infectious Agent ◽  
Creeping Bentgrass ◽  
Disease Diagnosis ◽  
Unknown Etiology ◽  
Agrostis Palustris ◽  
Putting Greens ◽  
Plant Disease Diagnosis

Plant disease diagnosis is most often accomplished by examination of symptoms and observation or isolation of causal organisms. Occasionally, diseases of unknown etiology occur and are difficult or impossible to accurately diagnose by the usual means. In 1980, such a disease was observed on Agrostis palustris Huds. c.v. Toronto (creeping bentgrass) putting greens at the Butler National Golf Course in Oak Brook, IL.The wilting symptoms of the disease and the irregular nature of its spread through affected areas suggested that an infectious agent was involved. However, normal isolation procedures did not yield any organism known to infect turf grass. TEM was employed in order to aid in the possible diagnosis of the disease.Crown, root and leaf tissue of both infected and symptomless plants were fixed in cold 5% glutaraldehyde in 0.1 M phosphate buffer, post-fixed in buffered 1% osmium tetroxide, dehydrated in ethanol and embedded in a 1:1 mixture of Spurrs and epon-araldite epoxy resins.

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