Showing 1 - 20 results of 375 for search '"Heart"', query time: 0.09s Refine Results
  1. 1

    Heart Care Augmented Reality Mobile Simulation (heARt) by Mohamed, F., Tong, S. C. C., Tomi, B., Mokhtar, M. K., Yusoff, Y. A.

    Published 2016
    “…Heart Care Augmented Reality Mobile Simulation (heARt) is an edutainment mobile based application that will helps in gaining such awareness of maintaining a healthy heart among the society. …”
    Conference or Workshop Item
  2. 2

    Abnormal heart rate detection through real-time heart monitoring application by Hashim, Ummi Namirah, Salahuddin, Lizawati, Hashim, Ummi Rabaah, Naim, Mohd. Hariz, Raja Ikram, Raja Rina, Abdul Rahim, Fiza

    Published 2023
    “…This research aims to enhance the detection of abnormal heart rate (HR) detection by developing a real-time heart rate monitoring (RTHM) application. …”
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    Article
  3. 3

    Heart sound monitoring sys by Hussain, Hadrina Sh, Mohamad, Mohd. Murtadha, Ting, Chee Ming, Raja Zahilah, Raja Zahilah, Hussain, H.

    Published 2016
    “…Taking into consideration the ECG and heart sound together with clinical indications, the cardiologist arrives at a diagnosis on the condition of the patient's heart. …”
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    Article
  4. 4

    Heart Murmur Diagnostic System (HMDS) by Shaikh Salleh, Sheikh Hussain, Tan, Tian Swee, Sh-Hussain, Hadrina, Ariff Ibrahim, Ahmad Kamarul, Ismail, Kamarul, Mohd. Noor, Alias, Oemar, Hamed

    Published 2012
    “…Many heart diseases cause changes in heart sounds and additional murmurs before other signs and symptoms appear. …”
    Book Section
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    Home based fetal heart rate monitor by Shabry, N. A. N. B. M., Singh, O. P., Sardana, P., Hisham, R. B., Malarvili, M. B.

    Published 2017
    “…Fetal heart rate is an important indicator or biological index to know the condition of fetal well-being. …”
    Article
  10. 10

    Review on data analytics framework in heart disease by Magalingam, Pritheega, Ibrahim, Roslina, Krishnan, Surenthiran

    Published 2018
    “…This paper reviews different analytics techniques that available for big data analytics in the health informatics field especially in heart disease. The predictive analytics techniques in heart disease techniques are discussed. …”
    Article
  11. 11

    Newborn seizure detection based on heart rate variability by Malarvili, M. B., Mesbah, Mostefa

    Published 2009
    “…In this paper, we investigate the use of heart rate variability (HRV) for automatic newborn seizure detection. …”
    Article
  12. 12

    MACCYD - archetype of heart sound database for biomedical application by Islam, Md. Asasul, Chowdhury, Chowdhury, Ismail, Kamarulafizam, Shaikh Salleh, Sheikh Hussain, Ishak, I.

    Published 2007
    “…Although diagnosis of heart sound by auscultation is simple and inexpensive method, it is so complex and nonstationary which make it difficult to understand. …”
    Book Section
  13. 13

    Wireless heart sound data acquisition using bluetooth by Ismail, Kamarulafizam, Shaikh Salleh, Sheikh Hussain, Yahya, Zuraimi, Jamaludin, Mohd. Najeb, Ganesah, J.

    Published 2007
    “…Apart from that, this unit has to be placed beside a patient’s bedside (wired) for heart sound monitoring, thus it hampers the mobility of patients. …”
    Book Section
  14. 14

    Analysis of Heart Sounds Based on Continuous Wavelet Transform by Mohd Zin, Zamri, Salleh, Sh-Hussain, Daliman, Shaparas, Sulaiman, M.Daud

    Published 2003
    “…This paper presents the application of wavelet transform analysis method to the heart sounds signal. The heart sounds is a non-stationery signal, thus it is very important to study the frequency and time information. …”
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    Article
  15. 15

    Comparison of time-frequency analysis performance on hearts and murmurs by Daliman, Shaparas, Sha'ameri, Ahmad Zuri

    Published 2003
    “…Time-frequency analysis is one of the methods to deal with non-stationary and time-varying signal such as heart sounds and murmurs. Wigner-Ville distribution (WVD) is a popular tool to obtain time-frequency representation of signal. …”
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    Article
  16. 16

    Analysis of hearts sounds based on continuous wavelet transform by Mohd. Zain, Zamri

    Published 2003
    “…This paper presents the application of wavelet transform analysis method to the heart sounds signal. The heart sounds is a non-stationery signal, thus it is very important to study the frequency and time information. …”
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    Conference or Workshop Item
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    Safety seat belt by using heart beat monitor by Abdul Rahim, Herlina

    Published 2011
    Conference or Workshop Item