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of 866
pro vyhledávání: '"Clifford Gari"'
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's electrical and mechanical functions. While effective, imaging techniques like echocardiography and nuclear imaging are costly and not widely accessible.
Externí odkaz:
http://arxiv.org/abs/2410.19667
Autor:
Li, Jun, Aguirre, Aaron, Moura, Junior, Liu, Che, Zhong, Lanhai, Sun, Chenxi, Clifford, Gari, Westover, Brandon, Hong, Shenda
Artificial intelligence (AI) has demonstrated significant potential in ECG analysis and cardiovascular disease assessment. Recently, foundation models have played a remarkable role in advancing medical AI. The development of an ECG foundation model h
Externí odkaz:
http://arxiv.org/abs/2410.04133
Autor:
Reyna, Matthew A., Deepanshi, Weigle, James, Koscova, Zuzana, Campbell, Kiersten, Shivashankara, Kshama Kodthalu, Saghafi, Soheil, Nikookar, Sepideh, Motie-Shirazi, Mohsen, Kiarashi, Yashar, Seyedi, Salman, Clifford, Gari D., Sameni, Reza
We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) images generated from ECG time-series data, with real-world scanning, imaging, and physical artifacts. We used ECG-Image-Kit, an open-source Python toolkit
Externí odkaz:
http://arxiv.org/abs/2409.16612
Autor:
Hegde, Chaitra, Kiarashi, Yashar, Levey, Allan I, Rodriguez, Amy D, Kwon, Hyeokhyen, Clifford, Gari D
INTRODUCTION: Mild cognitive impairment (MCI) is characterized by a decline in cognitive functions beyond typical age and education-related expectations. Since, MCI has been linked to reduced social interactions and increased aimless movements, we ai
Externí odkaz:
http://arxiv.org/abs/2408.10442
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