The Experts below are selected from a list of 150 Experts worldwide ranked by ideXlab platform

Sidheshwar Prasad - One of the best experts on this subject based on the ideXlab platform.

  • CAD for the Detection of Fetal Electrocardiogram through Neuro-Fuzzy Logic and Wavelets Systems for Telemetry
    2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), 2016
    Co-Authors: Pradeep Kumar, Sudhir Kr. Sharma, Sidheshwar Prasad
    Abstract:

    Telemetry is used for sensing and measuring of information at some location and then to transmit to desire location. It is very useful for medical monitoring too. The electrical activity of Heart is measured in the form of electrocardiogram (ECG) at skin. The monitoring of Fetus ECG(FECG) is important to monitor the baby inside mom abdomen. The observation during labour and delivery is done by monitoring Fetus Heart Rate(FHR). The abdominal electrocardiogram(AECG) consist of FECG as well as maternal electrocardiogram(MECG). The amplitude of FECG is very less in compare to MECG. So its difficult to sepaRate. In this paper we use orthogonal frequency division multiplexing (OFDM) for transmission from remote area with high signal to noise ratio(SNR). Wavelet transforms (WT) and artificial intelligence systems is used to de-noise composite signal and to obtain FCEG from AECG. Coding is done in MATLAB and computer added diagnosis(CAD) is used to avoid any mistakes. The artificial neural network and fuzzy interference system (ANFIS) is used to get exact F-ECG at desired location.

  • Detection of Fetal Electrocardiogram by Using Neuro-Fuzzy Systems for Telemetry
    INROADS- An International Journal of Jaipur National University, 2016
    Co-Authors: Pradeep Kumar, Sudhir Kumar Sharma, Sidheshwar Prasad
    Abstract:

    Telemetry is the process for sensing and measuring of information at some remote location and then transmitting that information to desire location. It is very useful for medical monitoring too. The electrical activity of Heart is measured in the form of electrocardiogram (ECG). The monitoring of Fetus ECG (FECG) is important to monitor the baby inside mom abdomen. The observation during labour and delivery is done by monitoring Fetus Heart Rate (FHR). It is also useful in biomedical telemetry and telemedicine. The abdominal electrocardiogram (AECG) consist of FECG as well as maternal electrocardiogram (MECG). The amplitude of FECG is very less in compare to MECG. So its difficult so sepaRate. In this paper we use orthogonal frequency division multiplexing (OFDM) for transmission from remote area with high signal to noise ratio (SNR). Wavelet transforms (WT) and artificial intelligence systems is used to de-noise composite signal and to obtain FCEG from AECG. All coding is done in MATLAB software. The artificial neural network and fuzzy interference system (ANFIS) is used to obtain exact FECG at desired location.

  • Detection of fetal electrocardiogram through OFDM, neuro- fuzzy logic and wavelets systems for telemetry
    2015 International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management (HNICEM), 2015
    Co-Authors: Pradeep Kumar, Sudhir Kr. Sharma, Sidheshwar Prasad
    Abstract:

    Telemetry is the process for sensing and measuring of information at some remote location and then transmitting that information to desire location. It is very useful for medical monitoring too. The electrical activity of Heart is measured in the form of electrocardiogram (ECG). The monitoring of Fetus ECG(FECG) is important to monitor the baby inside mom abdomen. The observation during labour and delivery is done by monitoring Fetus Heart Rate(FHR). It is also useful in biomedical telemetry and telemedicine. The abdominal electrocardiogram(AECG) consist of FECG as well as maternal electrocardiogram(MECG). The amplitude of FECG is very less in compare to MECG. So its difficult so sepaRate. In this paper we use orthogonal frequency division multiplexing (OFDM) for transmission from remote area with high signal to noise ratio(SNR). Wavelet transforms (WT) and artificial intelligence systems is used to de-noise composite signal and to obtain FCEG from AECG. Coding is done in MATLAB software. The artificial neural network and fuzzy interference system (ANFIS) is used to get exact F-ECG at desired location.

Pradeep Kumar - One of the best experts on this subject based on the ideXlab platform.

  • CAD for the Detection of Fetal Electrocardiogram through Neuro-Fuzzy Logic and Wavelets Systems for Telemetry
    2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), 2016
    Co-Authors: Pradeep Kumar, Sudhir Kr. Sharma, Sidheshwar Prasad
    Abstract:

    Telemetry is used for sensing and measuring of information at some location and then to transmit to desire location. It is very useful for medical monitoring too. The electrical activity of Heart is measured in the form of electrocardiogram (ECG) at skin. The monitoring of Fetus ECG(FECG) is important to monitor the baby inside mom abdomen. The observation during labour and delivery is done by monitoring Fetus Heart Rate(FHR). The abdominal electrocardiogram(AECG) consist of FECG as well as maternal electrocardiogram(MECG). The amplitude of FECG is very less in compare to MECG. So its difficult to sepaRate. In this paper we use orthogonal frequency division multiplexing (OFDM) for transmission from remote area with high signal to noise ratio(SNR). Wavelet transforms (WT) and artificial intelligence systems is used to de-noise composite signal and to obtain FCEG from AECG. Coding is done in MATLAB and computer added diagnosis(CAD) is used to avoid any mistakes. The artificial neural network and fuzzy interference system (ANFIS) is used to get exact F-ECG at desired location.

  • Detection of Fetal Electrocardiogram by Using Neuro-Fuzzy Systems for Telemetry
    INROADS- An International Journal of Jaipur National University, 2016
    Co-Authors: Pradeep Kumar, Sudhir Kumar Sharma, Sidheshwar Prasad
    Abstract:

    Telemetry is the process for sensing and measuring of information at some remote location and then transmitting that information to desire location. It is very useful for medical monitoring too. The electrical activity of Heart is measured in the form of electrocardiogram (ECG). The monitoring of Fetus ECG (FECG) is important to monitor the baby inside mom abdomen. The observation during labour and delivery is done by monitoring Fetus Heart Rate (FHR). It is also useful in biomedical telemetry and telemedicine. The abdominal electrocardiogram (AECG) consist of FECG as well as maternal electrocardiogram (MECG). The amplitude of FECG is very less in compare to MECG. So its difficult so sepaRate. In this paper we use orthogonal frequency division multiplexing (OFDM) for transmission from remote area with high signal to noise ratio (SNR). Wavelet transforms (WT) and artificial intelligence systems is used to de-noise composite signal and to obtain FCEG from AECG. All coding is done in MATLAB software. The artificial neural network and fuzzy interference system (ANFIS) is used to obtain exact FECG at desired location.

  • Detection of fetal electrocardiogram through OFDM, neuro- fuzzy logic and wavelets systems for telemetry
    2015 International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management (HNICEM), 2015
    Co-Authors: Pradeep Kumar, Sudhir Kr. Sharma, Sidheshwar Prasad
    Abstract:

    Telemetry is the process for sensing and measuring of information at some remote location and then transmitting that information to desire location. It is very useful for medical monitoring too. The electrical activity of Heart is measured in the form of electrocardiogram (ECG). The monitoring of Fetus ECG(FECG) is important to monitor the baby inside mom abdomen. The observation during labour and delivery is done by monitoring Fetus Heart Rate(FHR). It is also useful in biomedical telemetry and telemedicine. The abdominal electrocardiogram(AECG) consist of FECG as well as maternal electrocardiogram(MECG). The amplitude of FECG is very less in compare to MECG. So its difficult so sepaRate. In this paper we use orthogonal frequency division multiplexing (OFDM) for transmission from remote area with high signal to noise ratio(SNR). Wavelet transforms (WT) and artificial intelligence systems is used to de-noise composite signal and to obtain FCEG from AECG. Coding is done in MATLAB software. The artificial neural network and fuzzy interference system (ANFIS) is used to get exact F-ECG at desired location.

Irene A Lazarusli - One of the best experts on this subject based on the ideXlab platform.

  • determination of Fetus Heart Rate based 2d ultrasound
    International Conference on Information and Communication Technology Convergence, 2016
    Co-Authors: David Habsara Hareva, Dewi Sartika, Samuel Lukas, Irene A Lazarusli
    Abstract:

    A Doppler is a form of ultrasound scans that helps to monitor the baby's health during pregnancy. It can measure the blood flow of fetal Heart. At the same time as a normal ultrasound, it can show by creating a 2D image on screen how the fetal Heart is beating. This information can actually be used to obtain information of fetal Heart Rate. The method of contour tracing is used to sepaRate fetal Heart from its background. There are some parts of the Heart moving but only the atrium area is selected as a beating reference. The measuring success of fetal Heart Rate compare to medical test is about 88.82% by six-recorded 2D ultrasound.

  • ICTC - Determination of Fetus Heart Rate based 2D ultrasound
    2016 International Conference on Information and Communication Technology Convergence (ICTC), 2016
    Co-Authors: David Habsara Hareva, Dewi Sartika, Samuel Lukas, Irene A Lazarusli, Suryasari
    Abstract:

    A Doppler is a form of ultrasound scans that helps to monitor the baby's health during pregnancy. It can measure the blood flow of fetal Heart. At the same time as a normal ultrasound, it can show by creating a 2D image on screen how the fetal Heart is beating. This information can actually be used to obtain information of fetal Heart Rate. The method of contour tracing is used to sepaRate fetal Heart from its background. There are some parts of the Heart moving but only the atrium area is selected as a beating reference. The measuring success of fetal Heart Rate compare to medical test is about 88.82% by six-recorded 2D ultrasound.

Björn Westin - One of the best experts on this subject based on the ideXlab platform.

  • Fetal Heart Rate response to acoustic stimulation in relation to fetal development and hearing impairment
    Acta obstetricia et gynecologica Scandinavica, 1992
    Co-Authors: Bertil Johansson, Erik Wedenberg, Björn Westin
    Abstract:

    In twelve healthy pregnant women the fetal Heart Rate response to sound stimulation was tested every second week between the 22nd and the 34th week of the pregnancy. Habituation to the acoustic stimuli used was also investigated at the last examination. A high risk material for hearing impairment comprised 31 pregnant women.The stimuli were presented by a vibrator placed on the maternal abdomen over the fetal head. As stimuli pure tones were used in the form of pulses of one second at a frequency of 3000 Hz and with an onset and a decay time chosen not to cause audible clicks to a normal ear. The intensity of the tone pulse was set at a level calculated to correspond at the position of the fetal head to 110 dB sound pressure level in free field.Roughly 50% of the Fetuses tested started to react with an increased Heart Rate in the 24th week of the development. Four weeks later all tested subjects responded to the test stimuli.Habituation of the motor ‘startle’ response was shown but the Fetus Heart Rate ch...

Makoto Nakazawa - One of the best experts on this subject based on the ideXlab platform.

  • arrhythmia and reduced Heart Rate variability during pregnancy in women with congenital Heart disease and previous reparative surgery
    International Journal of Cardiology, 2007
    Co-Authors: Koichiro Niwa, Shigeru Tateno, Teiji Akagi, Wakako Himeno, Yasutaka Kawasoe, Shunsuke Tatebe, Kozo Matsuo, Michael A Gatzoulis, Makoto Nakazawa
    Abstract:

    Abstract Objectives Tachyarrhythmia during pregnancy may have an adverse effect on the mother and the Fetus. Heart Rate variability (HRV) is a significant marker of autonomic nervous function and may predict tachyarrhythmia. HRV and incidence of arrhythmia in women with repaired congenital Heart disease (CHD) during pregnancy were examined. Methods Twenty-eight patients with repaired CHD (35 pregnancies, age: 26±3.5 years at their first pregnancy, 22±6.2 years post-repair) and 19 healthy pregnant volunteers (controls, 19 pregnancies, age: 28±5.5 years) were enrolled. Holter monitoring and laboratory tests were examined at 28±4 weeks of gestation and 22±13 weeks postpartum in patients and 28±3 weeks of gestation in controls. Time and frequency variables of HRV were analyzed. Results Compared with controls and postpartum, there was a significantly higher incidence of tachyarrhythmia during pregnancy in women with CHD (4 episodes of supraventricular tachyarrhythmia (SVT) and 5 of non-sustained ventricular tachycardia, P =0.02). HR response in tetralogy of Fallot was impaired (781±50 ms, P =0.02). Most of HRV variables were significantly suppressed (average RR 740±64 ms, SDRR 99±22 ms, low and high frequency domains (341±165 ms 2 and 256±181 ms 2 )( P P =0.001) and atrial natriuretic peptide levels 33±13 pg/ml ( P =0.01) in the CHD patients compared with postpartum levels. Conclusions Impaired autonomic nervous activity, volume overload of the Heart and operative scar all play a contributory role in higher incidence of tachyarrhythmia during pregnancy in patients with repaired CHD compared to healthy pregnant controls. Close monitoring of patients with CHD for tachyarrhythmia during pregnancy is, thus, warranted.