Zobrazeno 1 - 10
of 626
pro vyhledávání: '"Clifford, Gari D."'
Autor:
Das, Barun, Anderson, Conor, Villavicencio, Tania, Lantz, Johanna, Foster, Jenny, Hamlin, Theresa, Rad, Ali Bahrami, Clifford, Gari D., Kwon, Hyeokhyen
Rapid identification and accurate documentation of interfering and high-risk behaviors in ASD, such as aggression, self-injury, disruption, and restricted repetitive behaviors, are important in daily classroom environments for tracking intervention e
Externí odkaz:
http://arxiv.org/abs/2407.21691
The pattern of state changes in a biomedical time series can be related to health or disease. This work presents a principled approach for selecting a changepoint detection algorithm for a specific task, such as disease classification. Eight key algo
Externí odkaz:
http://arxiv.org/abs/2404.12408
In this study, we present a deep learning framework designed to integrate with our previously developed system that facilitates large-scale 1D fetal Doppler data collection, aiming to enhance data quality. This system, tailored for traditional Indige
Externí odkaz:
http://arxiv.org/abs/2312.09433
Autor:
Shivashankara, Kshama Kodthalu, Deepanshi, Shervedani, Afagh Mehri, Clifford, Gari D., Reyna, Matthew A., Sameni, Reza
Cardiovascular diseases are a major cause of mortality globally, and electrocardiograms (ECGs) are crucial for diagnosing them. Traditionally, ECGs are printed on paper. However, these printouts, even when scanned, are incompatible with advanced ECG
Externí odkaz:
http://arxiv.org/abs/2307.01946
Regular blood pressure (BP) monitoring in clinical and ambulatory settings plays a crucial role in the prevention, diagnosis, treatment, and management of cardiovascular diseases. Recently, the widespread adoption of ambulatory BP measurement devices
Externí odkaz:
http://arxiv.org/abs/2306.08451
Autor:
Kiarashi, Yashar, Hedge, Chaitra, Madala, Venkata Siva Krishna, Nakum, ArjunSinh, Singh, Ratan, Tweedy, Robert, Clifford, Gari D., Kwon, Hyeokhyen
Spatial navigation of indoor space usage patterns reveals important cues about the cognitive health of individuals. In this work, we present a low-cost, scalable, open-source edge computing system using Bluetooth Low Energy (BLE) and Inertial Measure
Externí odkaz:
http://arxiv.org/abs/2305.19342
Autor:
Kwon, Hyeokhyen, Hedge, Chaitra, Kiarashi, Yashar, Madala, Venkata Siva Krishna, Singh, Ratan, Nakum, ArjunSinh, Tweedy, Robert, Tonetto, Leandro Miletto, Zimring, Craig M., Clifford, Gari D.
Localization of individuals in a built environment is a growing research topic. Estimating the positions, face orientation (or gaze direction) and trajectories of people through space has many uses, such as in crowd management, security, and healthca
Externí odkaz:
http://arxiv.org/abs/2305.05062
Autor:
Dumitru, Mircea, Li, Qiao, Alday, Erick Andres Perez, Rad, Ali Bahrami, Clifford, Gari D., Sameni, Reza
Objective: Gaussian Processes (GP)-based filters, which have been effectively used for various applications including electrocardiogram (ECG) filtering can be computationally demanding and the choice of their hyperparameters is typically ad hoc. Meth
Externí odkaz:
http://arxiv.org/abs/2301.02607
Autor:
Elola, Andoni, Aramendi, Elisabete, Oliveira, Jorge, Renna, Francesco, Coimbra, Miguel T., Reyna, Matthew A., Sameni, Reza, Clifford, Gari D., Rad, Ali Bahrami
Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac auscultation. The murmur grade, a quantitative measure of the murmur intensity, is strongly correlated with the patient's clinical condition. This work aims to estima
Externí odkaz:
http://arxiv.org/abs/2209.13385
Autor:
Sadiq, Ismail, Perez-Alday, Erick A., Shah, Amit J., Rad, Ali Bahrami, Sameni, Reza, Clifford, Gari D.
Objective: To determine if a realistic, but computationally efficient model of the electrocardiogram can be used to pre-train a deep neural network (DNN) with a wide range of morphologies and abnormalities specific to a given condition - T-wave Alter
Externí odkaz:
http://arxiv.org/abs/2112.15442