Stethoscope

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The stethoscope (from Greek στηθοσκόπιο, of στήθος, stéthos - chest and σκοπή, skopé - examination) is an acoustic medical device for auscultation, or listening to the internal sounds of an animal body. (Wikipedia.org)






Conferences related to Stethoscope

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2019 IEEE International Conference on Industrial Technology (ICIT)

The scope of the conference will cover, but will not be limited to, the following topics: Robotics; Mechatronics; Industrial Automation; Autonomous Systems; Sensing and artificial perception, Actuators and Micro-nanotechnology; Signal/Image Processing and Computational Intelligence; Control Systems; Electronic System on Chip and Embedded Control; Electric Transportation; Power Electronics; Electric Machines and Drives; Renewable Energy and Smart Grid; Data and Software Engineering, Communication; Networking and Industrial Informatics.


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Periodicals related to Stethoscope

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


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Xplore Articles related to Stethoscope

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Chest sound pick-up using a multisensor array

SENSORS, 2005 IEEE, 2005

This paper proposes a method of evaluating and improving the ability of a multisensor array to pick up specific sounds from the chest. The focus index (FI) is a performance metric created to evaluate the focus achieved by a near- field beamformer and it can be applied to optimize sensor arrays for a number of applications. The FI can guide ...


Detection of coronary artery disease with an electronic stethoscope

2007 Computers in Cardiology, 2007

A noninvasive method for detection of coronary artery disease (CAD) with an electronic stethoscope is proposed. Heart sounds recorded in clinical settings are often contaminated with background noise and noise caused by friction between the skin and the stethoscope. A method was developed to reduce the influence of the noise artifacts. The diastolic parts of the heart sounds were divided ...


Ultra-Mobile Echo Network in Health Care System

2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008

For the management of early stage atherosclerosis, the concept of metabolic syndrome is important. An inexpensive, ultra-mobile ultrasound imaging device is proposed for the accurate diagnosis of the atherosclerosis. A linear probe capable of transmitting and receiving 64 ultrasound beams with the central frequency of 7.5 MHz is made. Echo images are displayed on a 5.7 inch LCD screen. The ...


Acoustic performance of three stethoscope chest pieces

Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286), 1998

This study compared the spectral response of three different stethoscope chest pieces (Tycos Harvey, Littmann Classic II, Tollot Dual Head) to both pink noise and normal human breath sounds recorded from the chest wall of 12 subjects breathing at an average peak inspiratory flow rate of 1.5 L/s. The sound data was subjected to fast Fourier transform (FFT) algorithm analysis. ...


Online non-invasive fetal sound analysis

2004 IEEE Electro/Information Technology Conference, 2004

A method is presented to non-invasively separate the fetal phonocardiograms (FPCG) of the fetuses in a multiple fetus pregnancy. The method uses a device like a stethoscope. We assume that the phonocardiograms of the fetuses are statistically independent. Results of simulations are included in the paper.


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IEEE-USA E-Books

  • Chest sound pick-up using a multisensor array

    This paper proposes a method of evaluating and improving the ability of a multisensor array to pick up specific sounds from the chest. The focus index (FI) is a performance metric created to evaluate the focus achieved by a near- field beamformer and it can be applied to optimize sensor arrays for a number of applications. The FI can guide the user, for instance, in selecting an appropriate number of sensors, or determining if a subbanding or other beamforming algorithm is necessary. A related performance metric, the adjusted focus index (AFI), is proposed. The AFI describes the degree of focus relative to the point where the power is maximal regardless of whether it corresponds to the intended focus location. The validity and usefulness of the FI and AFI are shown through empirical trials and simulations as well as through experimental measurements. The FI and AFI have been shown to be useful in the optimization of many multisensor arrangements, including linear, circular, rectangular, and three-dimensional arrays

  • Detection of coronary artery disease with an electronic stethoscope

    A noninvasive method for detection of coronary artery disease (CAD) with an electronic stethoscope is proposed. Heart sounds recorded in clinical settings are often contaminated with background noise and noise caused by friction between the skin and the stethoscope. A method was developed to reduce the influence of the noise artifacts. The diastolic parts of the heart sounds were divided into multiple sub-segments, where noisy sub-segments were indentified as sub-segments with a low degree of stationarity or with a high energy level. The sub-segments not identified as noisy were analyzed with an autoregressive (AR) model, where the pole-magnitude of the 1<sup>st</sup> pole was used as a discriminating parameter. A test on 50 subjects showed that removal of the noisy sub-segments before analyses improved the diagnostic performance of the AR-model considerably, thereby reducing the influence of noise related to the use of a handhold stethoscope.

  • Ultra-Mobile Echo Network in Health Care System

    For the management of early stage atherosclerosis, the concept of metabolic syndrome is important. An inexpensive, ultra-mobile ultrasound imaging device is proposed for the accurate diagnosis of the atherosclerosis. A linear probe capable of transmitting and receiving 64 ultrasound beams with the central frequency of 7.5 MHz is made. Echo images are displayed on a 5.7 inch LCD screen. The dimension of the device is 270 times 184 times 62 mm and the total weight including the probe is 1.9kg. For the popularization of the echo images for the patients' education and motivation, ultrasound movie client systems were proposed using a mobile phone or PlayStation Portabletrade. The entire procedure proposed in the paper consists of the development of electronic devices and configuration of this system including to the training of community health nurses to use this device.

  • Acoustic performance of three stethoscope chest pieces

    This study compared the spectral response of three different stethoscope chest pieces (Tycos Harvey, Littmann Classic II, Tollot Dual Head) to both pink noise and normal human breath sounds recorded from the chest wall of 12 subjects breathing at an average peak inspiratory flow rate of 1.5 L/s. The sound data was subjected to fast Fourier transform (FFT) algorithm analysis. The pink noise data showed frequency accentuation between 100 and 1250 Hz occurred with all the chest pieces but was most prominent with the Littmann and least with the Tycos Harvey chest piece. Inspiratory breath sound analysis showed that the peak intensity (PI) recorded using the Littmann chest piece was highest and the Tollot lowest, whilst the frequency at maximum power (F/sub max/) recorded using the Tycos Harvey chest piece was highest and the Tollot lowest. There was no difference in the frequency (F/sub 50/) and band width at half power during inspiration between the three chest pieces. All parameters measured during inspiration were significantly different from that measured during expiration, except for F/sub 50/. This study demonstrates that the acoustic performance of stethoscope chest pieces is different, with the Littmann displaying the highest gain in intensity at adventitial sound frequencies and appears most suitable for lung sound auscultation in the clinical setting. However, the superior F/sub max/ of the Tycos Harvey chest piece suggests superior diaphragmatic auscultation of high frequency sounds such as wheezes.

  • Online non-invasive fetal sound analysis

    A method is presented to non-invasively separate the fetal phonocardiograms (FPCG) of the fetuses in a multiple fetus pregnancy. The method uses a device like a stethoscope. We assume that the phonocardiograms of the fetuses are statistically independent. Results of simulations are included in the paper.

  • Heart diseases diagnosis using heart sounds

    Heart sound is one of the oldest means for assessing the function of heart valves. It helps, together with echocardiograms and electrocardiographs, to give a clear and proper diagnosis of several diseases. Artificial neural networks are used to classify several valve-related heart disorders. A library of heart sound files, recorded via the traditional stethoscope, are used to extract relevant features using several signal processing tools, e.g., discrete wavelet transform (DWT), fast Fourier transform (FFT) and linear predictive coding (LPC). The achieved recognition rates were around 95.7%.

  • Noise and the detection of coronary artery disease with an electronic stethoscope

    Recent studies demonstrated that diastolic heart sounds, recorded with an electronic stethoscope, contain markers of coronary artery disease (CAD). A difficult is that the CAD-related sound is very weak and recordings are often contaminated by noise. The current study analyses the noise contamination of 633 stethoscope recordings from a clinical environment. Respiration noise, ambient noise, recording noise and abdominal noise were identified in the recordings and were classified according to duration and intensity. To monitor how noise influences the classification performance AR-pole magnitudes were extracted from both the 25-250 Hz frequency band and the 250-1000 Hz frequency band. The classification performance was quantified by the Area Under the receiver operating Characteristic (AUC). Ambient noise was present in 39.9% of the recordings and was the most common noise source. Abdominal noise was the least common noise source, present in 10.8% of the recordings. The best pole, with respect to detection of CAD, extracted from the 250-1000 Hz frequency band was sensitive to noise, since the AUC dropped from 0.70 in to 0.57 when noisy recordings were included. Contrary the best pole from the 25-250 Hz frequency band was relatively robust against noise, since the AUC dropped from 0.73 to only 0.70 when noisy recordings were included. The study demonstrated that noise contamination is a frequent problem and that features from lower frequency bands are more robust against noise than features from higher frequency bands.

  • Classification of healthy subjects and patients with pulmonary emphysema using continuous respiratory sounds

    In this paper, we propose a new method for classifying patients with pulmonary emphysema and healthy subjects using lung sounds. Using conventional classification methods, every boundary between inspiratory and expiratory phases in successive respiratory sounds are detected manually prior to automatic classification. However, manual segmentation must be performed accurately and has therefore created significant obstacles in achieving automatic classification. In our proposed method, adequate boundaries are detected automatically in the classification process, based on the criterion of maximizing the difference between the acoustic likelihoods for a candidate with abnormal respiration and one with normal respiration. The proposed method achieved a classification rate of 83.9% between healthy subjects and patients. The reported rate was 1.3% greater than the rate achieved using the conventional method, which required manual phase-wise segmentation. Furthermore, the resulting rate was 2.2% higher than the rate obtained by the classification in which a lung sound sample was divided into phases of equal duration, indicating the effectiveness of the proposed method.

  • Heart diseases diagnosis using HMM

    The bare ear and the stethoscope were until recently of great help in classifying most heart diseases especially those related to valve problems. The newly developed electronic stethoscope and phonocardiography represent useful tools for recording heart sound signals. In this paper a diagnostic technique for heart diseases using heart sounds is suggested. Wavelet decomposition and mel cepstrum are used for feature extraction. Classification of the different heart diseases is then done using hidden Markov models (HMM). Three different techniques have been used and compared. The obtained recognition rates (RR) were 97.3%, 98.2%, and 99.1%.

  • Quantitative delineation of heart murmurs using features derived from autoregressive modeling

    In this paper, the focus is on systolic heart murmurs of clinical significance, quantitative features characterizing the murmurs are derived by dividing the systole into many short non-overlapping segments and using second order autoregressive (AR) models. Features thus derived can provide a quantitative delineation of the murmur with respect to the onset, duration, intensity and pitch (frequency). We applied the said approach to examine several systolic murmurs and obtained rather accurate descriptions that parallel closely to published clinical documentation.



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