EDWARD S SAZONOV

Summary

Publications

  1. ncbi request reprint Activity-based sleep-wake identification in infants
    Edward Sazonov
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USA
    Physiol Meas 25:1291-304. 2004
  2. pmc Toward objective monitoring of ingestive behavior in free-living population
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, New York, USA
    Obesity (Silver Spring) 17:1971-5. 2009
  3. pmc Automatic detection of swallowing events by acoustical means for applications of monitoring of ingestive behavior
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USA
    IEEE Trans Biomed Eng 57:626-33. 2010
  4. doi request reprint The energetics of obesity: a review: monitoring energy intake and energy expenditure in humans
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, 8 Clarkson Avenue, Postdam, NY 13699, USA
    IEEE Eng Med Biol Mag 29:31-5. 2010
  5. doi request reprint Monitoring of posture allocations and activities by a shoe-based wearable sensor
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA
    IEEE Trans Biomed Eng 58:983-90. 2011
  6. doi request reprint Swallowing detection by sonic and subsonic frequencies: a comparison
    Juan M Fontana
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6890-3. 2011
  7. doi request reprint Automatic recognition of postures and activities in stroke patients
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13676, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:2200-3. 2009
  8. doi request reprint Characterizing walking activity in people with stroke
    George D Fulk
    Physical Therapy Department, Clarkson University, Potsdam, NY 13699, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:5211-4. 2011
  9. doi request reprint Classification of posture and activities by using decision trees
    Ting Zhang
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4353-6. 2012
  10. doi request reprint A robust classification scheme for detection of food intake through non-invasive monitoring of chewing
    Juan M Fontana
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4891-4. 2012

Detail Information

Publications16

  1. ncbi request reprint Activity-based sleep-wake identification in infants
    Edward Sazonov
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USA
    Physiol Meas 25:1291-304. 2004
    ..Nonlinear mapping capabilities of the neural network benefit the accuracy of sleep-wake state identification. Utilization of the accelerometer for the dual purpose allows us to minimize intrusiveness of home infant monitors...
  2. pmc Toward objective monitoring of ingestive behavior in free-living population
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, New York, USA
    Obesity (Silver Spring) 17:1971-5. 2009
    ..Thus, the proposed methodology could lead to the development of an innovative new way of assessing human eating behavior in free-living conditions...
  3. pmc Automatic detection of swallowing events by acoustical means for applications of monitoring of ingestive behavior
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USA
    IEEE Trans Biomed Eng 57:626-33. 2010
    ..The recognition accuracy was not related to body mass index, suggesting that the methodology is suitable for obese individuals...
  4. doi request reprint The energetics of obesity: a review: monitoring energy intake and energy expenditure in humans
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, 8 Clarkson Avenue, Postdam, NY 13699, USA
    IEEE Eng Med Biol Mag 29:31-5. 2010
    ..The energetics of obesity also showcases an engineering challenge: development of techniques to accurately measure individual components of the energy equation...
  5. doi request reprint Monitoring of posture allocations and activities by a shoe-based wearable sensor
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA
    IEEE Trans Biomed Eng 58:983-90. 2011
    ..Subjects had shoe sizes (US) M9.5-11 and W7-9 and body mass index from 18.1 to 39.4 kg/m2 and thus suggesting that the device can be used by individuals with varying anthropometric characteristics...
  6. doi request reprint Swallowing detection by sonic and subsonic frequencies: a comparison
    Juan M Fontana
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6890-3. 2011
    ..Further examination with the addition of a signal classification layer is proposed as a future step to confirm this statement...
  7. doi request reprint Automatic recognition of postures and activities in stroke patients
    EDWARD S SAZONOV
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13676, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:2200-3. 2009
    ..The results suggest that recognition of postures and activities may be performed with very high accuracy...
  8. doi request reprint Characterizing walking activity in people with stroke
    George D Fulk
    Physical Therapy Department, Clarkson University, Potsdam, NY 13699, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:5211-4. 2011
    ..This device could be used to monitor walking activity as well as provide behavioral enhancing feedback to increase activity levels and walking ability in people with stroke for extended periods of time in the real world...
  9. doi request reprint Classification of posture and activities by using decision trees
    Ting Zhang
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4353-6. 2012
    ..The computational accuracy is as high as 98.85% without boosting, and 98.90% after boosting. Additionally, the simple tree structure provides a direct approach to simplify the feature set...
  10. doi request reprint A robust classification scheme for detection of food intake through non-invasive monitoring of chewing
    Juan M Fontana
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4891-4. 2012
    ..Results showed that an average accuracy of 90.52% can be obtained using Linear SVM with a time resolution of 15 sec...
  11. doi request reprint Design of a instrumentation module for monitoring ingestive behavior in laboratory studies
    Juan M Fontana
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:1884-7. 2011
    ..This instrumentation module improves a previously developed system by eliminating the post-processing stage of data synchronization and by reducing the risks of operator's error...
  12. doi request reprint Highly accurate classification of postures and activities by a shoe-based monitor through classification with rejection
    Wenlong Tang
    University of Alabama, Tuscaloosa, AL 35487, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:2611-4. 2012
    ..Such an approach will be especially beneficial in application where high accuracy of recognition is desired while not all observations need to be assigned a class label...
  13. pmc Automatic detection of temporal gait parameters in poststroke individuals
    Paulo Lopez-Meyer
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487 0286, USA
    IEEE Trans Inf Technol Biomed 15:594-601. 2011
    ..The proposed methodology is based on inexpensive and user-friendly technology that will enable research and clinical applications for rehabilitation of people who have experienced a stroke...
  14. doi request reprint Recognition of household and athletic activities using SmartShoe
    S Ryan Edgar
    Clarkson University, Department of Electrical and Computer Engineering, Potsdam, NY 13699, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:6382-5. 2012
    ..13% accuracy. As proof of real-time processing on a mobile platform the trained neural network for healthy individuals was timed and required less than 4 ms to perform each feature vector construction and classification...
  15. doi request reprint Wearable shoe-based device for rehabilitation of stroke patients
    S Edgar
    Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13676, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:3772-5. 2010
    ....
  16. pmc Prediction of bodyweight and energy expenditure using point pressure and foot acceleration measurements
    Nadezhda A Sazonova
    Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
    Open Biomed Eng J 5:110-5. 2011
    ..7456 METs vs. 0.6972 METs). Advances in the pressure sensor technology should enable better accuracy of body weight estimation and further improvement in accuracy of EE prediction using automatic BW estimates...