Acoustic-pressure sensor array system for cardiac-sound acquisition

Gong, Meihui; Lan, Guangdong; Shi, Yunbo

doi:10.1016/j.bspc.2021.102836

Cited by 15 publications

(4 citation statements)

References 21 publications

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“…When the tester makes the same voice action in vocalized/nonvocalized states, the detected signal waveforms are almost identical, as shown in Figure d, proving that making a voice or not does not affect muscle motion. Thus, this sound detector can help patients who cannot use their voice physically to “speak out” so that communicating with others becomes achievable, being of great significance in its medical aspect. , In addition, a volunteer wearing the device repeated “pressure sensor” by using English and Chinese separately for further exploration about recognition of human vocal signals. From Figure e, it is not hard to figure out that the smallest structural unit of languages (English word and Chinese character) can be detected explicitly, which is prominent in long sentences (Figure S14a–c), meaning satisfactory discernibility of the detector.…”

Section: Resultsmentioning

confidence: 99%

Flexible MXene/Bacterial Cellulose Film Sound Detector Based on Piezoresistive Sensing Mechanism

et al. 2022

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Flexible pressure sensors have aroused extensive attention in health monitoring, human–computer interaction, soft robotics, and more, as a staple member of wearable electronics. However, a majority of traditional research focuses solely on foundational mechanical sensing tests and ordinary human-motion monitoring, ignoring its other applications in daily life. In this work, a paper-based pressure sensor is prepared by using MXene/bacterial cellulose film with three-dimensional isolation layer structure, and its sensing capability as a wearable sound detector has also been studied. The as-prepared device exhibits great comprehensive mechanical sensing performance as well as accurate detection of human physiological signals. As a sound detector, not only can it recognize different voice signals and sound attributes by monitoring movement of throat muscles, but also it will distinguish a variety of natural sounds through air pressure waves caused by sound transmission (also called sound waves), like the eardrum. Besides, it plays an important role in sound visualization technology because of the ability for capturing and presenting music signals. Moreover, millimeter-scale thickness, lightweight, and degradable raw materials make the sensor convenient and easy to carry, meeting requirements of environmental protection as well.

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Section: Resultsmentioning

confidence: 99%

Flexible MXene/Bacterial Cellulose Film Sound Detector Based on Piezoresistive Sensing Mechanism

et al. 2022

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“…As one of the mainstream sensing technologies, acoustic sensor has been developed into various fields, such as measurement of sound characteristics, [5] medical detection, [6] biological monitoring, [7] sound velocity measurement, [8] and environment noise controller. [9] The sound source locating function allows robots to clearly identify the position of obstacles and perform corresponding interactions.…”

Section: Doi: 101002/mabi202200374mentioning

confidence: 99%

“…Building up artificial ear system has become an indispensable part in sensing functions of future bionic robotics. As one of the mainstream sensing technologies, acoustic sensor has been developed into various fields, such as measurement of sound characteristics, [ 5 ] medical detection, [ 6 ] biological monitoring, [ 7 ] sound velocity measurement, [ 8 ] and environment noise controller. [ 9 ]…”

Section: Introductionmentioning

confidence: 99%

3D‐Printed Bionic Ear for Sound Identification and Localization Based on In Situ Polling of PVDF‐TrFE Film

Yang

Xiang

Liao

et al. 2022

Macromolecular Bioscience

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Bionic acoustic sensors are an indispensable part to realize interactions between humans and robotics. In this work, a PVDF-TrFE sensor array with multiple active pixels combined with a 3D-printed bionic ear model is prepared, which can accurately detect sounds with different frequencies and locate the sound source from different directions. The PVDF-TrFE sensor array can clearly identify the sound within 25 cm, and the error between the accepted sound frequency and the original input frequency is less than 0.001%. Through the algorithm analysis of the input signal, the location of the sound source can be immediately analyzed. Compared with other acoustic sensors, this sensor has the advantages of being self-powered, small size, and high flexibility, which holds great potential for bionic applications.

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“…We believe two important aspects need to be addressed in the development of wearable PCG devices. The first is the aspect of designing and discovering novel sensors that are suitable for wearable devices [10][11][12][13][14]. Notably, the repeatability, performance, and reliability of this aspect must be presumed before proceeding to the second aspect, namely, real-world performance analysis of wearable PCGs on subjects performing common ambulatory activities.…”

Section: Protocol Involved Movements That Emulate Daily Activitiesmentioning

confidence: 99%

Evaluation of Signal Quality from a Wearable Phonocardiogram (PCG) Device and Personalized Calibration

2022

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Currently, the only clinically utilized Phonocardiogram (PCG) is an electronic stethoscope used in a hospital or clinical environment. The availability of continuously recorded PCGs can provide a new avenue of research into chronic disease management at home. Researchers have proposed such wearable PCG devices. However, limitations exist in evaluating such devices as PCG recording devices in home-like environments. Here, we evaluate a wearable PCG system in a belt-type form factor with an embedded force sensor, accelerometer, and a single lead ECG to study the feasibility of acquiring diagnostic-grade PCGs while the wearer performs daily activities. We describe qualitative and quantitative exploratory analysis methods for cross-subject comparison of PCG signal quality, wearer comfort, and the impact of activities using Signal-to-Noise (SNR) comparisons and cross-spectral coherence between activity and PCG. The analysis of the data suggests that a common user-chosen method of donning a wearable PCG is not applicable across subjects for obtaining optimal PCG recording quality. We propose a method to calibrate wearable PCG devices using an embedded force sensor and by following a protocol involving feedback from the embedded force sensor to determine the optimal method of wearing the device. Following a similar path to precision medicine using genomic data and the extrapolation of risk, wearable devices with healthcare applications should be developed with the ability to be adapted and calibrated to each individual. In the immediate future this may involve calibration procedures such as those followed in this work, using controlled measurements performed with each patient to tune a device for them.

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Acoustic-pressure sensor array system for cardiac-sound acquisition

Cited by 15 publications

References 21 publications

Flexible MXene/Bacterial Cellulose Film Sound Detector Based on Piezoresistive Sensing Mechanism

Flexible MXene/Bacterial Cellulose Film Sound Detector Based on Piezoresistive Sensing Mechanism

3D‐Printed Bionic Ear for Sound Identification and Localization Based on In Situ Polling of PVDF‐TrFE Film

Evaluation of Signal Quality from a Wearable Phonocardiogram (PCG) Device and Personalized Calibration

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