Investigation of MEMS as accelerometer sensor in an Implantable Centrifugal Blood Pump prototype

Neto, S. Silva; Sobrinho, J. R. C. Sousa; Costa, Cesar da; Leão, Tarcísio; Senra, S. A. M. M.; Bock, Eduardo; Santos, Givanildo Alves dos; Souza, S T de; Silva, D. M.; Frajuca, Carlos; Souza, M. A.

doi:10.1007/s40430-020-02560-7

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…When a current signal with a frequency of 100 MHz and a wavelength of 3 m passes through the resistor, the output current does not change significantly compared with the input current, and the resistance length at this time is less than one percent of the wavelength; when the frequency is 1 GHz, the current is with a wavelength of 30 cm. The signal passes through the resistor, and the length of the resistor at this time is between twentieth of a wavelength and a hundredth of a wavelength [19].…”

Section: R E T R a C T E D R E T R A C T E Dmentioning

confidence: 99%

MEMS Sensors in Tennis Teaching and Training under the Background of Big Data Intelligent Communication

2022

Wireless Communications and Mobile Computing

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Racket sports (tennis, pawns, tennis, etc.) are currently very popular sports, and they are a very intense aerobic exercise. The climatic conditions of the competition venue, time difference factors, the size of the competition venue, background, lighting, wind direction, etc. may all have an impact on the performance of the game. In order to fully control and eliminate these risk factors, it is recommended to go to the competition site for adaptive training one month in advance. If you can participate in the prematch training camp organized by the general administration, it is of course the best choice. This research mainly discusses the development of MEMS sensors in tennis teaching and training under the background of big data intelligent communication. Using a single inertial sensor fixed on the bottom of the racket for data collection, a real-time data stream window segmentation method based on the combination of sliding window and action window is proposed. Finally, based on the above recognition method, an intelligent tennis training system software is developed, introduces the processing flow of MEMS sensor data, and gives a specific implementation plan for data preprocessing through in-depth study of the characteristics of inertial navigation data. The tennis training system collects the raw data of tennis players during the training process through the MEMS sensor hardware module placed at the bottom of the tennis racket handle, and the sensor module can upload these raw data to the smart phone terminal through wireless communication. The smart phone terminal can analyze and process the collected raw data and finally feedback the number and proportion of each technical action of the tennis player in the training process and the maximum racquet speed through the mobile phone software in real time. After the practice training, the average CTN score of the control group was 141.73, and the standard deviation of the data was 4.185. After the practice training, the average CTN score of the experimental group was 161.67, and the standard deviation was 6.042. This research will improve the efficiency of tennis teaching and training.

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Section: R E T R a C T E D R E T R A C T E Dmentioning

confidence: 99%

MEMS Sensors in Tennis Teaching and Training under the Background of Big Data Intelligent Communication

2022

Wireless Communications and Mobile Computing

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“…A MEMS accelerometer is an inertial navigation device which combines microelectronics and micro-machining technology. It is widely applied to various fields, such as aerospace [ 1 , 2 ], autonomous driving [ 3 ], oil exploration [ 4 ], and medical devices [ 5 , 6 ]. A capacitive accelerometer is a typical MEMS accelerometer because of the outstanding performance of small volume, low power consumption, high resolution, and wide dynamic range, etc.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Degradation Evaluation of the Mismatch of Sensitive Capacitance in MEMS Accelerometers

Huang

Dong

et al. 2023

Micromachines

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During long-term use, MEMS accelerometers will experience degradation, such as bias and scale factor changes. Bias of MEMS capacitive accelerometers usually comes from the mismatch of parasitic capacitance and sensitive capacitance. This paper focuses on the mismatch of sensitive capacitance and analyzes the mechanism of long-term degradation of MEMS accelerometers. Firstly, the effect of sensitive capacitance mismatch on the performance of a MEMS accelerometer was investigated. Secondly, a method of measuring the mismatch of sensitive capacitance was proposed, and the validation experiment shows that the accuracy of this measurement can be less than 1.10×10−5 of the sensitive capacitance. For the samples in this experiment, the measurement error of this method can be less than 0.36 fF. Finally, a high-temperature acceleration experiment was performed. The mismatch of the sensitive capacitance during the experiment was monitored based on the proposed method, and the experimental results are analyzed. The experimental result demonstrates that the mismatch of sensitive capacitance varies linearly with time. The change rates of sensitive capacitance mismatch for the two samples are 2.95×10−7 C0/h and 2.66×10−7 C0/h in the high-temperature acceleration experiment at 145 °C, respectively. The change in sensitive capacitance mismatch seems small, but it is not to be ignored during long-term use. The rate of change is similar for the same batch of samples. This could imply that the adverse effects due to the mismatch of sensitive capacitance changes can be reduced by compensating for this variation.

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“…The first is due to high interaction between blood and pump’s titanium surface. The second is due to mechanical trauma that can break the cytoplasmic membrane of the red blood cells [ 3 ]. In order to avoid the thrombus generation and even minimize hemolysis, it is necessary to create a bioactive interface between titanium and blood.…”

Section: Introductionmentioning

confidence: 99%

Laser-Treated Surfaces for VADs: From Inert Titanium to Potential Biofunctional Materials

et al. 2022

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Objective. Laser-treated surfaces for ventricular assist devices. Impact Statement. This work has scientific impact since it proposes a biofunctional surface created with laser processing in bioinert titanium. Introduction. Cardiovascular diseases are the world’s leading cause of death. An especially debilitating heart disease is congestive heart failure. Among the possible therapies, heart transplantation and mechanical circulatory assistance are the main treatments for its severe form at a more advanced stage. The development of biomaterials for ventricular assist devices is still being carried out. Although polished titanium is currently employed in several devices, its performance could be improved by enhancing the bioactivity of its surface. Methods. Aiming to improve the titanium without using coatings that can be detached, this work presents the formation of laser-induced periodic surface structures with a topology suitable for cell adhesion and neointimal tissue formation. The surface was modified by femtosecond laser ablation and cell adhesion was evaluated in vitro by using fibroblast cells. Results. The results indicate the formation of the desired topology, since the cells showed the appropriate adhesion compared to the control group. Scanning electron microscopy showed several positive characteristics in the cells shape and their surface distribution. The in vitro results obtained with different topologies point that the proposed LIPSS would provide enhanced cell adhesion and proliferation. Conclusion. The laser processes studied can create new interactions in biomaterials already known and improve the performance of biomaterials for use in ventricular assist devices.

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Investigation of MEMS as accelerometer sensor in an Implantable Centrifugal Blood Pump prototype

Cited by 9 publications

References 11 publications

MEMS Sensors in Tennis Teaching and Training under the Background of Big Data Intelligent Communication

MEMS Sensors in Tennis Teaching and Training under the Background of Big Data Intelligent Communication

Long-Term Degradation Evaluation of the Mismatch of Sensitive Capacitance in MEMS Accelerometers

Laser-Treated Surfaces for VADs: From Inert Titanium to Potential Biofunctional Materials

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