Activity-based sleep-wake identification in infantsEdward 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...
Toward objective monitoring of ingestive behavior in free-living populationEDWARD 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...
- 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...
The energetics of obesity: a review: monitoring energy intake and energy expenditure in humansEDWARD 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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
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- 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...
