Efficiency evaluation of electroacoustic sensors for auscultation devices of human body life-activity sounds

Makarenkova, Anastasiia; Poreva, Anna; Slozko, Mykola

doi:10.1109/ukrcon.2017.8100499

Cited by 4 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An important element of the stethoscope (illustrated in Figure 7) is the chestpiece. For this reason, for the characterization of the device's performance, we considered how this component might affect the results in terms of evaluating the different solutions to house the mics, following the approach reported in [39]. More specifically, a chestpiece consists of two parts: a front side and a back side (see Figure 7), usually referred to as the bell and diaphragm.…”

Section: Chestpiecementioning

confidence: 99%

“…The noises generated by the human body cause the plastic disc to vibrate (when it is in contact with the patient's skin), which then generates the sounds heard when using the stethoscope chestpiece. We considered five chestpiece models for the four microphones: for the piezoelectric diaphragm, a single-size drum (Figure 8, inspired by [39]) was realized; for the electret condenser and MEMS solutions, two chestpieces were developed (based on stethoscope's chestpiece parts and [39]), with the difference being the small (Figures 9 and 10) or large (Figures 11 and 12) dimensions. The piezo diaphragm size was fixed, so it was not possible to have two different cups for it, whereas, for the other solutions, two different cup sizes were analyzed in order to test the different frequency responses, akin to the bell and diaphragm parts of the chestpiece.…”

Section: Chestpiecementioning

confidence: 99%

See 1 more Smart Citation

Exploring Microphone Technologies for Digital Auscultation Devices

Zauli,

Peppi,

Di Bonaventura

et al. 2023

Micromachines

View full text Add to dashboard Cite

The aim of this work is to present a preliminary study for the design of a digital auscultation system, i.e., a novel wearable device for patient chest auscultation and a digital stethoscope. The development and testing of the electronic stethoscope prototype is reported with an emphasis on the description and selection of sound transduction systems and analog electronic processing. The focus on various microphone technologies, such as micro-electro-mechanical systems (MEMSs), electret condensers, and piezoelectronic diaphragms, intends to emphasize the most suitable transducer for auscultation. In addition, we report on the design and development of a digital acquisition system for the human body for sound recording by using a modular device approach in order to fit the chosen analog and digital mics. Tests were performed on a designed phantom setup, and a qualitative comparison between the sounds recorded with the newly developed acquisition device and those recorded with two commercial digital stethoscopes is reported.

show abstract

Section: Chestpiecementioning

confidence: 99%

Section: Chestpiecementioning

confidence: 99%

Exploring Microphone Technologies for Digital Auscultation Devices

Zauli,

Peppi,

Di Bonaventura

et al. 2023

Micromachines

View full text Add to dashboard Cite

show abstract

“…A critical issue that needs to be considered when dealing with a stethoscope is the tuning of the frequency response [ 28 , 29 ]. Furthermore, in [ 30 ], contact microphone, accelerometer, and stethoscope-microphone sensors were compared. The comparison was based on efficiency/signal to noise ratio for capturing heart and breathing sounds.…”

Section: Background and Related Workmentioning

confidence: 99%

Facial Muscle Activity Recognition with Reconfigurable Differential Stethoscope-Microphones

Bello

Zhou

Lukowicz

2020

Sensors

View full text Add to dashboard Cite

Many human activities and states are related to the facial muscles’ actions: from the expression of emotions, stress, and non-verbal communication through health-related actions, such as coughing and sneezing to nutrition and drinking. In this work, we describe, in detail, the design and evaluation of a wearable system for facial muscle activity monitoring based on a re-configurable differential array of stethoscope-microphones. In our system, six stethoscopes are placed at locations that could easily be integrated into the frame of smart glasses. The paper describes the detailed hardware design and selection and adaptation of appropriate signal processing and machine learning methods. For the evaluation, we asked eight participants to imitate a set of facial actions, such as expressions of happiness, anger, surprise, sadness, upset, and disgust, and gestures, like kissing, winkling, sticking the tongue out, and taking a pill. An evaluation of a complete data set of 2640 events with 66% training and a 33% testing rate has been performed. Although we encountered high variability of the volunteers’ expressions, our approach shows a recall = 55%, precision = 56%, and f1-score of 54% for the user-independent scenario(9% chance-level). On a user-dependent basis, our worst result has an f1-score = 60% and best result with f1-score = 89%. Having a recall ≥60% for expressions like happiness, anger, kissing, sticking the tongue out, and neutral(Null-class).

show abstract

Mechano-acoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch

et al. 2019

View full text Add to dashboard Cite

Skin-mounted soft electronics incorporating high-bandwidth triaxial accelerometers can provide broad classes of physiologically relevant information, such as mechanoacoustic signatures of underlying body processes (such as those captured by a stethoscope) and precision kinematics of core body motions. Here, we describe a wireless device designed to be conformally placed on the suprasternal notch for the continuous measurement of mechanoacoustic signals, from subtle vibrations of the skin at accelerations of ~10 −3 m•s −2 to large motions of the entire body at ~10 m•s −2 , and at frequencies up to ~800 Hz. Because th measurements are a complex superposition of signals that arise from locomotion, body orientation, swallowing, respiration, cardiac activity, vocal-fold vibrations and other sources, we used frequency-domain analysis and machine learning to obtain, from human subjects during natural daily activities and exercise, real-time recordings of heart rate, respiration rate, energy intensity and other essential vital signs, as well as talking time and cadence, swallow counts and patterns, and other unconventional biomarkers. We also used the device in sleep laboratories, and validated the measurements via polysomnography. Natural processes of the human body yield a multitude of mechano-acoustic (MA) signals, many of which strongly attenuate at the skin-air interface 1-5. Motions with amplitudes and Lee et al.

show abstract

Efficiency evaluation of electroacoustic sensors for auscultation devices of human body life-activity sounds

Cited by 4 publications

References 3 publications

Exploring Microphone Technologies for Digital Auscultation Devices

Exploring Microphone Technologies for Digital Auscultation Devices

Facial Muscle Activity Recognition with Reconfigurable Differential Stethoscope-Microphones

Mechano-acoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch

Contact Info

Product

Resources

About