Entity

Time filter

Source Type

Pittsburgh, PA, United States

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Grant
Agency: Department of Health and Human Services | Branch: | Program: STTR | Phase: Phase I | Award Amount: 0.00 | Year: 1999

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Grant
Agency: Department of Health and Human Services | Branch: | Program: STTR | Phase: Phase II | Award Amount: 262.23K | Year: 1999

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Vinjamuri R.,University of Pittsburgh | Sun M.,University of Pittsburgh | Chang C.-C.,National Taipei University of Technology | Lee H.-N.,Gwangju Institute of Science and Technology | And 2 more authors.
IEEE Transactions on Information Technology in Biomedicine | Year: 2010

Postural synergies of the hand have been widely proposed in the literature, but only a few attempts were made to visualize temporal postural synergies, i.e., profiles of postural synergies varying over time. This paper aims to derive temporal postural synergies from kinematic synergies extracted from joint angular velocity profiles of rapid grasping movements. The rapid movements constrain the kinematic synergies to combine instantaneously, and thus, the movements can be approximated by a weighted summation of synchronous synergies. After being extracted by using singular value decomposition, the synchronous kinematic synergies were translated into temporal postural synergies, which revealed strategies of enslaving, metacarpal flexion for larger movements, and hierarchical recruitment of joints, adapted by subjects while grasping. © 2006 IEEE. Source


Wang R.,Beijing Jiaotong University | Jia W.,University of Pittsburgh | Mao Z.-H.,University of Pittsburgh | Sclabassi R.J.,Computational Diagnostics Inc. | Sun M.,University of Pittsburgh
International Conference on Signal Processing Proceedings, ICSP | Year: 2015

It has been reported that the pulse transit time (PTT), the interval between the peak of the R-wave in electrocardiogram (ECG) and the fingertip photoplethysmogram (PPG), is related to arterial stiffness, and can be used to estimate the systolic blood pressure (SBP) and diastolic blood pressure (DBP). This phenomenon has been used as the basis to design portable systems for continuously cuff-less blood pressure measurement, benefiting numerous people with heart conditions. However, the PTT-based blood pressure estimation may not be sufficiently accurate because the regulation of blood pressure within the human body is a complex, multivariate physiological process. Considering the negative feedback mechanism in the blood pressure control, we introduce the heart rate (HR) and the blood pressure estimate in the previous step to obtain the current estimate. We validate this method using a clinical database. Our results show that the PTT, HR and previous estimate reduce the estimated error significantly when compared to the conventional PTT estimation approach (p<0.05). © 2014 IEEE. Source


Jia W.,University of Pittsburgh | Bai Y.,University of Pittsburgh | Sun M.,University of Pittsburgh | Sclabassi R.J.,Computational Diagnostics Inc.
Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC | Year: 2013

This study aims to develop a wireless EEG system to provide critical point-of-care information about brain electrical activity. A novel dry electrode, which can be installed rapidly, is used to acquire EEG from the scalp. A wireless data link between the electrode and a data port (i.e., a smartphone) is established based on the Bluetooth technology. A prototype of this system has been implemented and its performance in acquiring EEG has been evaluated. © 2013 IEEE. Source

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