Design and optimization of MEMS heart sound sensor based on bionic structure

Cui, Jiangong; Li, Yirui; Yang, Yuhua; Shi, Pengcheng; Wang, Bo; Wang, Shuotong; Zhang, Guojun; Zhang, Wendong

doi:10.1016/j.sna.2021.113188

Cited by 21 publications

(15 citation statements)

References 13 publications

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“…Cilium & |Sphere [25,33] 23.0 132.0 15.1 Liquid-solid Cilium [33] 14.5 124.0 18.6 Liquid-solid Globule/Lollipop [33,34] 34.0 657.0 25.7 Liquid-solid Bat [33,35] 19.0 541.0 29.1 Liquid-solid frequency band below 20 Hz is relatively affluent. By contrast, the energy spectrum of other frequency bands is minimal, indicating that the heart band signal is effectively picked up.…”

Section: Results and Testmentioning

confidence: 99%

Optimum Design and Test of a Novel Bionic Electronic Stethoscope based on the Cruciform Microcantilever with Leaf Microelectromechanical Systems Structure

Zang

Zhou

Xiang

et al. 2022

Adv Materials Technologies

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This paper proposes a heart sound sensing structure and system by combining the traditional auscultation structure and human‐like ear eardrum gas–solid coupling sound conduction process. This system is based on the lever pickup mechanism of eardrum vibration and the traditional stethoscope pickup amplification, microelectromechanical system (MEMS) technology, and the detection principle of piezoresistive and Wheatstone bridge. The optimal size and process parameters of the biomimetic sensor structure are given through theoretical calculation and numerical simulation on Comsol and SRIM. Computer numerical control, 3D printing, MEMS technology, and 3D heterogeneous integration technology are used to complete the precise processing and encapsulation of the proposed structure. After the performance tests, results show that the optimal structure can collect directional signals, with a bandwidth from 10 Hz to 1 kHz, which can effectively cover the range of the heart frequency. The signal‐to‐noise ratio is improved by 2.3 dB compared with the 3M stethoscope. An electrocardiogram and phonocardiogram synchronization detection system is developed with this structure. The structure and system can be effectively applied to the high‐quality collection and intelligent recognition of heart sound data sets. The recognition accuracy can reach 98.5%. It is highly effective for early screening and intelligent diagnosis of cardiovascular diseases.

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Section: Results and Testmentioning

confidence: 99%

Optimum Design and Test of a Novel Bionic Electronic Stethoscope based on the Cruciform Microcantilever with Leaf Microelectromechanical Systems Structure

Zang

Zhou

Xiang

et al. 2022

Adv Materials Technologies

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“…Under the action of stress, the value of the piezoresistors on the cantilever beams will change, and the change R  can be calculated from the following expression [19]:…”

Section: Sensor Principle and Optimisation Designmentioning

confidence: 99%

“…Li et al applied cilium-shaped and lollipop-shaped hydrophones to heart sound detection and compared their performance [17]. Duan and Cui et al further improved the cilium structure, designed a bat-shaped structure, and conducted experimental verification [18,19].…”

Section: Introductionmentioning

confidence: 99%

Design of a Novel Medical Acoustic Sensor Based on MEMS Bionic Fish Ear Structure

et al. 2022

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High-performance medical acoustic sensors are essential in medical equipment and diagnosis. Commercially available medical acoustic sensors are capacitive and piezoelectric types. When they are used to detect heart sound signals, there is attenuation and distortion due to the sound transmission between different media. This paper proposes a new bionic acoustic sensor based on the fish ear structure. Through theoretical analysis and finite element simulation, the optimal parameters of the sensitive structure are determined. The sensor is fabricated using microelectromechanical systems (MEMS) technology, and is encapsulated in castor oil, which has an acoustic impedance close to the human body. An electroacoustic test platform is built to test the performance of the sensor. The results showed that the MEMS bionic sensor operated with a bandwidth of 20 Hz–2k Hz. Its linearity and frequency responses were better than the electret microphone. In addition, the sensor was tested for heart sound collection application to verify its effectiveness. The proposed sensor can be effectively used in clinical auscultation and has a high SNR.

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“…The acoustic sound was analyzed and optimized using analytical and simulation methods, and eventually, experimentally tested. The sensor possessed a small size, and showed very good results such as a high sensitivity to monitor heart sounds (−189.5 dB @ 500 Hz), a good working bandwidth of 10–800 Hz, and low interference with environmental noises [ 83 ].…”

Section: Sensing Devices In Healthcarementioning

confidence: 99%

Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare

et al. 2022

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Acoustic signals are important markers to monitor physiological and pathological conditions, e.g., heart and respiratory sounds. The employment of traditional devices, such as stethoscopes, has been progressively superseded by new miniaturized devices, usually identified as microelectromechanical systems (MEMS). These tools are able to better detect the vibrational content of acoustic signals in order to provide a more reliable description of their features (e.g., amplitude, frequency bandwidth). Starting from the description of the structure and working principles of MEMS, we provide a review of their emerging applications in the healthcare field, discussing the advantages and limitations of each framework. Finally, we deliver a discussion on the lessons learned from the literature, and the open questions and challenges in the field that the scientific community must address in the near future.

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Design and optimization of MEMS heart sound sensor based on bionic structure

Cited by 21 publications

References 13 publications

Optimum Design and Test of a Novel Bionic Electronic Stethoscope based on the Cruciform Microcantilever with Leaf Microelectromechanical Systems Structure

Optimum Design and Test of a Novel Bionic Electronic Stethoscope based on the Cruciform Microcantilever with Leaf Microelectromechanical Systems Structure

Design of a Novel Medical Acoustic Sensor Based on MEMS Bionic Fish Ear Structure

Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare

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