scholarly journals A 3D Wrist Pulse Signal Acquisition System for Width Information of Pulse Wave

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 11 ◽  
Author(s):  
Chuanglu Chen ◽  
Zhiqiang Li ◽  
Yitao Zhang ◽  
Shaolong Zhang ◽  
Jiena Hou ◽  
...  
Keyword(s):  
Sensor Array ◽  
Pulse Wave ◽  
Pulse Signal ◽  
Micro Electro Mechanical System ◽  
Acquisition System ◽  
Measuring Instruments ◽  
Signal Acquisition ◽  
Mems Sensor ◽  
Signal Collection ◽  
Pulse Waves

During pulse signal collection, width information of pulse waves is essential for the diagnosis of disease. However, currently used measuring instruments can only detect the amplitude while can’t acquire the width information. This paper proposed a novel wrist pulse signal acquisition system, which could realize simultaneous measurements of the width and amplitude of dynamic pulse waves under different static forces. A tailor-packaged micro-electro-mechanical system (MEMS) sensor array was employed to collect pulse signals, a conditioning circuit was designed to process the signals, and a customized algorithm was developed to compute the width. Experiments were carried out to validate the accuracy of the sensor array and system effectiveness. The results showed the system could acquire not only the amplitude of pulse wave but also the width of it. The system provided more information about pulse waves, which could help doctors make the diagnosis.

scholarly journals Design of Pulse Wave Feature Vigilance Detection System Based on Computer Software Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yidong Zeng ◽  
Jun Ji ◽  
Jinghua Wang ◽  
Jiasuo Gao ◽  
Jie Hu ◽  
...  
Keyword(s):  
Pulse Wave ◽  
Detection System ◽  
Skin Resistance ◽  
Computer Software ◽  
Pulse Amplitude ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Blood Oxygen Saturation ◽  
Software Technology ◽  
Physiological Signal

In this paper, the pulse wave feature alertness detection system based on computer software technology is researched. First, the computer software technology designs the alertness detection system and then conducts the system alertness test experiment using a system that can not affect the subjects’ alertness, a portable multichannel physiological signal acquisition system that measures the subjects’ ECG signal, skin resistance, blood oxygen saturation, and other physiological signals in the case of a degree task experiment. The multichannel physiological signal acquisition system collects the signals during the vigilance task experiment. At the same time, before, during, and after the experiment, subjects are required to fill in the Stanford Sleepiness Scale (SSS) and evaluate the level of individual alertness through subjective self-evaluation. The relevant experimental data show that, 10 minutes before the experiment, the pulse amplitude increased rapidly, then slowly decreased at the beginning, reached a peak in about 25 minutes, and then began to rise.

scholarly journals Adjacent Channel Interference Modeling of Single Vibration Point on Multichannel Dynamic Pressure Sensors

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Xingguang Geng ◽  
Su Liu ◽  
Yitao Zhang ◽  
Shaolong Zhang ◽  
Jiena Hou ◽  
...  
Keyword(s):  
Radial Artery ◽  
Sensor Array ◽  
Pulse Wave ◽  
Interference Suppression ◽  
Signal Quality ◽  
Vibration Signals ◽  
Inflatable Cuff ◽  
Channel Interference ◽  
Sensor Channel ◽  
Pulse Waves

Pulse waves of a radial artery under different pressures applied through a cuff play an important role in disease diagnosis, especially in traditional chinese medicine (TCM). Pulse waves could be collected by a pressure sensor array affixed to an inflatable cuff. During a process of collecting pulse waves, one sensor of a sensor array moves up and down when the sensor is shocked by a pulse wave. Movement of the sensor leads to the passive displacement of other nearby sensors because of a connecting structure between them. Then, vibration signals will be generated by the nearby sensors although these sensors do not receive radial artery pulse waves. These vibration signals considered an interference are usually superimposed on real signals obtained from these nearby sensors and degrade signal quality. The problem mentioned above does not only generally exist in a pressure sensor array attached to a wristband but also is easy to ignore. This paper proposes a novel interference suppression algorithm based on Welch’s method for estimating and weakening adjacent sensor channel interference to overcome the problem. At first, a sensor array attached to an inflatable cuff and a vibration generator is proposed to establish an experimental platform for simplifying the pulse wave collection process. Then, the interference suppression algorithm is proposed according to mechanical analysis and Welch’s method based on the proposed sensor array and vibration generator. Next anti-interference abilities of the algorithm based on a simplified process are evaluated by different vibration frequencies and applied pressures. The anti-interference abilities of the algorithm based on pulse waves of the radial artery are evaluated indirectly. The results show that the novel interference suppression algorithm could weaken adjacent sensor channel interference and upgrade the signal quality.

The Research on Real-Time Pulse Signal Collecting System Based on CC2430

2013 ◽  
Vol 401-403 ◽  
pp. 1436-1439
Author(s):  
Yu Xiu Xing ◽  
Yi Cao ◽  
Wei Zhang
Keyword(s):  
Real Time ◽  
Pulse Wave ◽  
Pulse Signal ◽  
Low Power Consumption ◽  
Signal Acquisition ◽  
Functional Modules ◽  
Real Time Monitoring ◽  
The Real ◽  
Pulse Sensor ◽  
Time Pulse

This paper introduced the system of real-time pulse signal acquisition based on CC2430.the original pulse signal was collected by projected pulse sensor, and then after shaping, filtering and amplification, we can get the pulse wave signal, which was stable and synchronized with the heart. After that this signal was input to the CC2430 chip, and reached the PC by ZigBee wireless communication, therefore the real-time monitoring from doctor to patient could be achieved. There were many advantages, such as simple, low power consumption, real-time coercion, etc. We can also expand the functional modules interfaces ,such as body temperature, ECG, blood pressure, to achieve the real-time monitoring more physiological parameters.

scholarly journals Human Pulse Signal Acquisition System Based on PVDF Piezoelectric Film

2021 ◽  
Vol 1924 (1) ◽  
pp. 012019
Author(s):  
Bing Zhou ◽  
Xin’an Wang ◽  
Qiuping Li ◽  
Changpei Qiu ◽  
Jianrong He ◽  
...  
Keyword(s):  
Pulse Signal ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Piezoelectric Film

scholarly journals Fault and calibration shift detection in a robust MEMS accelerometer array

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Daniel Watson ◽  
Karl Reichard
Keyword(s):  
Sensor Array ◽  
Health Management ◽  
Low Cost ◽  
Micro Electro Mechanical System ◽  
Mems Accelerometer ◽  
Practical Applications ◽  
Mems Sensor ◽  
Decision Logic ◽  
High Bandwidth ◽  
Future Work

The latest generation micro-electro-mechanical system(MEMS) accelerometers offer high bandwidth and low noisefloors previously limited to piezoelectric (PZT) based sensors.These relatively low cost MEMS sensors drastically expandthe financially practical applications for high frequency,vibration based, prognostics health management (PHM).This paper examines a robust array of MEMS accelerometersfor applications where sensor access after deploymentis difficult or infeasible. Three identical single axis MEMSaccelerometers were place in an array for testing. Insteadof a typical tri-axial configuration, the three sensors werealigned on a common axis. An auto-correlation algorithmwas used to detect gross system faults of individual sensorsin the array. A separate algorithm was developed to detectabnormal sensor sensitivity drift. The 3 sensor array wastested under a variety of conditions to test the developedalgorithms; power supply voltages were systematically variedaffecting the ratio-metric accelerometer sensitivity andindividual sensor mounts were purposely compromised tosimulate common fault symptoms. A decision logic treewas then implemented to respond to both types of faults.Results show the feasibility of implementing robust MEMSaccelerometer arrays using the latest generation of high bandwidthMEMS accelerometers. Planned future work includesdeploying the sensor array on tribology test equipment tovalidate MEMS sensor effectiveness compared to traditionalPZT based accelerometers.

scholarly journals A Novel Multi-Dimensional Composition Method Based on Time Series Similarity for Array Pulse Wave Signals Detecting

Algorithms ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 297
Author(s):  
Hongjie Zou ◽  
Yitao Zhang ◽  
Jun Zhang ◽  
Chuanglu Chen ◽  
Xingguang Geng ◽  
...  
Keyword(s):  
Time Series ◽  
Sensor Array ◽  
Pulse Wave ◽  
Dynamic Pressure ◽  
Sensor Arrays ◽  
Disease Diagnosis ◽  
Micro Electro Mechanical System ◽  
Processing Method ◽  
Multiple Test ◽  
Multiple Sensors

Pulse wave signal sensed over the radial artery on the wrist is a crucial physiological indicator in disease diagnosis. The sensor array composed of multiple sensors has the ability to collect abundant pulse wave information. As a result, it has gradually attracted the attention of practitioners. However, few practical methods are used to obtain a one-dimensional pulse wave from the sensor array’s spatial multi-dimensional signals. The current algorithm using pulse wave with the highest amplitude value as the significant data suffers from low consistency because the signal acquired each time differs significantly due to the sensor’s relative position shift to the test area. This paper proposes a processing method based on time series similarity, which can take full advantage of sensor arrays’ spatial multi-dimensional characteristics and effectively avoid the above factors’ influence. A pulse wave acquisition system (PWAS) containing a micro-electro-mechanical system (MEMS) sensor array is continuously extruded using a stable dynamic pressure input source to simulate the pulse wave acquisition process. Experiments are conducted at multiple test locations with multiple data acquisitions to evaluate the performance of the algorithm. The experimental results show that the newly proposed processing method using time series similarity as the criterion has better consistency and stability.

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