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ORCIDRidwan Alam
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2020 – today
- 2024
[i5]Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz:
Detecting QT prolongation From a Single-lead ECG With Deep Learning. CoRR abs/2401.05378 (2024)- [i4]Ridwan Alam, Collin M. Stultz:
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models. CoRR abs/2408.15272 (2024) - 2023
- [c10]Ridwan Alam
, Aaron D. Aguirre, Collin M. Stultz:
QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. EMBC 2023: 1-4 - [c9]Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz:
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. ICML 2023: 28531-28548 - [i3]Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz:
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. CoRR abs/2307.10923 (2023) - 2021
- [j3]Ridwan Alam, David B. Peden, John C. Lach:
Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor Biomarkers. IEEE J. Biomed. Health Informatics 25(6): 1938-1948 (2021) - 2020
- [j2]Brooke Bell, Ridwan Alam, Nabil Alshurafa, Edison Thomaz, Md. Abu Sayeed Mondol, Kayla de la Haye, John A. Stankovic, John C. Lach, Donna Spruijt-Metz:
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. npj Digit. Medicine 3 (2020) - [i2]Ridwan Alam, David B. Peden, John C. Lach:
Wearable Respiration Monitoring: Interpretable Inference with Context and Sensor Biomarkers. CoRR abs/2007.01413 (2020) - [i1]Md. Abu Sayeed Mondol, Brooke Bell, Meiyi Ma, Ridwan Alam, Ifat Afrin Emi, Sarah Masud Preum, Kayla de la Haye, Donna Spruijt-Metz, John C. Lach, John A. Stankovic:
MFED: A System for Monitoring Family Eating Dynamics. CoRR abs/2007.05831 (2020)
2010 – 2019
- 2019
- [j1]Nutta Homdee, Ridwan Alam, James A. Hayes, Tamanna Hamid, John Park, Sean Wolfe, Hilda Goins, Nykesha Fyffe, Temple Newbold, Tonya L. Smith-Jackson, Azziza Bankole, Martha S. Anderson, John C. Lach:
Agitation Monitoring and Prevention System for Dementia Caregiver Empowerment. Computer 52(11): 30-39 (2019) - [c8]Ridwan Alam, David B. Peden, Jiaqi Gong, John C. Lach:
Non-Invasive Inference of Minute Ventilation Using Wearable ECG and Gaussian Process Regression. BHI 2019: 1-4 - [c7]Ridwan Alam, Azziza Bankole, Martha S. Anderson, John C. Lach:
Multiple-Instance Learning for Sparse Behavior Modeling from Wearables: Toward Dementia-Related Agitation Prediction. EMBC 2019: 1330-1333 - [c6]Ridwan Alam, David B. Peden, Benjamin Ghaemmaghami, John C. Lach:
Inferring Respiratory Minute Volume from Wrist Motion. EMBC 2019: 6935-6938 - [c5]Ridwan Alam, Nutta Homdee, Sean Wolfe, James A. Hayes, John C. Lach:
Besi: behavior learning and tracking with wearable and in-home sensors - a dementia case-study: poster abstract. IoTDI 2019: 281-282 - 2018
- [c4]Ridwan Alam, Martha S. Anderson, Azziza Bankole, John C. Lach:
Inferring physical agitation in dementia using smartwatch and sequential behavior models. BHI 2018: 170-173 - 2017
- [c3]Ridwan Alam, Joshua Dugan, Nutta Homdee, Neeraj Gandhi, Benjamin Ghaemmaghami, Harshitha Meda, Azziza Bankole, Martha S. Anderson, Jiaqi Gong, Tonya L. Smith-Jackson, John C. Lach:
BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications. CHASE 2017: 147-156 - [c2]Meiyi Ma, Ridwan Alam, Brooke Bell, Kayla de la Haye, Donna Spruijt-Metz, John C. Lach, John A. Stankovic:
M^2G: A Monitor of Monitoring Systems with Ground Truth Validation Features for Research-Oriented Residential Applications. MASS 2017: 10-18 - [c1]Ridwan Alam, Jiaqi Gong, Mark A. Hanson, Azziza Bankole, Martha S. Anderson, Tonya L. Smith-Jackson, John C. Lach:
Motion Biomarkers for Early Detection of Dementia-Related Agitation. DigitalBioMarker@MobiSys 2017: 15-20
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