Zobrazeno 1 - 10
of 1 707
pro vyhledávání: '"Rogers Jeffrey"'
Spatio-Temporal Correlation of Epileptic Seizures with The Electrocardiography Brain Perfusion Index
Autor:
van Bohemen, Samuel J, Nardo, Joe O, Rogers, Jeffrey M, Stephens, Eleanor, Wong, Chong H, Bleasel, Andrew F, Kyme, Andre Z
The Electrocardiography Brain Perfusion index (EBPi) is a novel electrocardiography (ECG)-based metric that may function as a proxy for cerebral blood flow (CBF). We investigated the spatio-temporal correlation between EBPi and epileptic seizure even
Externí odkaz:
http://arxiv.org/abs/2403.17366
Autor:
van Bohemen, Samuel J, Rogers, Jeffrey M, Alavanja, Aleksandra, Evans, Andrew, Young, Noel, Boughton, Philip C, Valderrama, Joaquin, Kyme, Andre Z
This study assessed the safety, feasibility, and acceptability of a novel device to monitor ischaemic stroke patients. The device captured electroencephalography (EEG) and electrocardiography (ECG) data to compute an ECG-based metric termed the Elect
Externí odkaz:
http://arxiv.org/abs/2403.17362
Autor:
Siu, Vince S., Hsieh, Kuan Yu, Buleje, Italo, Itoh, Takashi, Hao, Tian, Civjan, Ben, Hinds, Nigel, Dang, Bing, Rogers, Jeffrey L., Wen, Bo
Publikováno v:
IEEE International Conference on Digital Health (ICDH), 2023, pp. 65-74
Artificial intelligence (AI) has shown great promise in revolutionizing the field of digital health by improving disease diagnosis, treatment, and prevention. This paper describes the Health Guardian platform, a non-commercial, scientific research-ba
Externí odkaz:
http://arxiv.org/abs/2310.01733
Autor:
Buleje, Italo, Siu, Vince S., Hsieh, Kuan Yu, Hinds, Nigel, Dang, Bing, Bilal, Erhan, Nguyen, Thanhnha, Lee, Ellen E., Depp, Colin A., Rogers, Jeffrey L.
Publikováno v:
2023 IEEE International Conference on Digital Health (ICDH), Chicago, IL, USA, 2023, pp. 88-90
This paper presents a data-centric and security-focused data fabric designed for digital health applications. With the increasing interest in digital health research, there has been a surge in the volume of Internet of Things (IoT) data derived from
Externí odkaz:
http://arxiv.org/abs/2310.01673
Autor:
Berger, Sara, Agurto, Carla, Cecchi, Guillermo, Eyigoz, Elif, Hershey, Brad, Lechleiter, Kristen, group, NAVITAS/ENVISION studies physician author, Huynh, Dat, McDonald, Matt, Rogers, Jeffrey L
The emergence of COVID-19 offered a unique opportunity to study chronic pain patients as they responded to sudden changes in social environments, increased community stress, and reduced access to care. We report findings from n=70 Spinal Cord Stimula
Externí odkaz:
http://arxiv.org/abs/2310.01390
Autor:
Ordonez-Hurtado, Rodrigo, Wen, Bo, Barra, Nicholas, Vimba, Ryan, Cabrero-Barros, Sergio, Zhuk, Sergiy, Rogers, Jeffrey L.
Publikováno v:
in 2023 IEEE International Conference on Digital Health (ICDH), Chicago, IL, USA, 2023 pp. 195-201
Driving is a daily routine for many individuals across the globe. This paper presents the configuration and methodologies used to transform a vehicle into a connected ecosystem capable of assessing driver physiology. We integrated an array of commerc
Externí odkaz:
http://arxiv.org/abs/2309.04078
Autor:
Tchrakian, Tigran, Zayats, Mykhaylo, Pascale, Alessandra, Huynh, Dat, Parida, Pritish, Rios, Carla Agurto, Zhuk, Sergiy, Rogers, Jeffrey L., Group, ENVISION Studies Physician Author, Consortium, Boston Scientific Research Scientists
Spinal cord stimulation (SCS) is a therapeutic approach used for the management of chronic pain. It involves the delivery of electrical impulses to the spinal cord via an implanted device, which when given suitable stimulus parameters can mask or blo
Externí odkaz:
http://arxiv.org/abs/2309.03918
Autor:
Reinen, Jenna M., Agurto, Carla, Cecchi, Guillermo, Rogers, Jeffrey L., NAVITAS, Group, ENVISION Studies Physician Author, Consortium, Boston Scientific Research Scientists
Publikováno v:
2022 IEEE International Conference on Digital Health, 47-53
The technical capacity to monitor patients with a mobile device has drastically expanded, but data produced from this approach are often difficult to interpret. We present a solution to produce a meaningful representation of patient status from large
Externí odkaz:
http://arxiv.org/abs/2301.00299
Autor:
Wen, Bo, Siu, Vince S., Buleje, Italo, Hsieh, Kuan Yu, Itoh, Takashi, Zimmerli, Lukas, Hinds, Nigel, Eyigoz, Elif, Dang, Bing, von Cavallar, Stefan, Rogers, Jeffrey L.
Publikováno v:
IEEE International Conference on Digital Health (ICDH), 2022, pp. 40-46
This paper highlights the design philosophy and architecture of the Health Guardian, a platform developed by the IBM Digital Health team to accelerate discoveries of new digital biomarkers and development of digital health technologies. The Health Gu
Externí odkaz:
http://arxiv.org/abs/2211.06330
Autor:
Rogers, Jeffrey M., Weiss, Stephanie T., Epstein, David H., Grundmann, Oliver, Hill, Katherine, Smith, Kirsten E.
Publikováno v:
In Drug and Alcohol Dependence 1 July 2024 260
