Real time monitor electroless plating of Ni–P film on quartz surface by an electrode-separated piezoelectric sensor

2011 ◽  
Vol 157 (2) ◽  
pp. 533-539 ◽  
Author(s):  
Qi Kang ◽  
Rui Sheng ◽  
Yaolong Li ◽  
Zhengli Zhang ◽  
Shijie Wu ◽  
...  
Keyword(s):  
Real Time ◽  
Electroless Plating ◽  
Piezoelectric Sensor ◽  
Quartz Surface

Adsorption studies of cationic starch onto quartz surface through an electrode-separated piezoelectric sensor

2002 ◽  
Vol 71 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Dazhong Shen ◽  
Shuhang Li ◽  
Wenpeng Li ◽  
Xiaoli Zhang ◽  
Lizeng Wang
Keyword(s):  
Piezoelectric Sensor ◽  
Quartz Surface ◽  
Cationic Starch ◽  
Adsorption Studies

scholarly journals Design a Monitoring Device for Heart-Attack Early Detection Based on Respiration Rate and Body Temperature Parameters

2021 ◽  
Vol 3 (3) ◽  
pp. 114-120
Author(s):  
Isna Fatimatuz Zahra ◽  
I Dewa Gede Hari Wisana ◽  
Priyambada Cahya Nugraha ◽  
Hayder J Hassaballah
Keyword(s):  
Body Temperature ◽  
Real Time ◽  
Respiration Rate ◽  
Heart Attack ◽  
Detection System ◽  
Warning System ◽  
Piezoelectric Sensor ◽  
Attack Detection ◽  
Sensor Data ◽  
Frequency Module

Acute myocardial infarction, commonly referred to as a heart attack, is the most common cause of sudden death where a monitoring tool is needed that is equipped with a system that can notify doctors to take immediate action. The purpose of this study was to design a heart attack detection device through indicators of vital human signs. The contribution of this research is that the system works in real-time, has more parameters, uses wireless, and is equipped with a system to detect indications of a heart attack. In order for wireless monitoring to be carried out in real-time and supported by a detection system, this design uses a radio frequency module as data transmission and uses a warning system that is used for detection. Respiration rate was measured using the piezoelectric sensor, and body temperature was measured using the DS18B20 temperature sensor. Processing of sensor data is done with ESP32, which is displayed wirelessly by the HC-12 module on the PC. If an indication of a heart attack is detected in the parameter value, the tool will activate a notification on the PC. In every indication of a heart attack, it was found that this design can provide notification properly. The results showed that the largest respiratory error value was 4%, and the largest body temperature error value was 0.55%. The results of this study can be implemented in patients who have been diagnosed with heart attack disease so that it can facilitate monitoring the patient's condition.

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