User profiles for "author:Daniel Lopez-Martinez"
Daniel Lopez-MartinezHarvard University & Massachusetts Institute of Technology Verified email at hst.harvard.edu Cited by 1079 |
Automatic recognition methods supporting pain assessment: A survey
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …
poorly understood, especially in infants, anesthetized patients, and others who cannot …
Multi-task neural networks for personalized pain recognition from physiological signals
D Lopez-Martinez, R Picard - 2017 Seventh International …, 2017 - ieeexplore.ieee.org
Pain is a complex and subjective experience that poses a number of measurement
challenges. While self-report by the patient is viewed as the gold standard of pain …
challenges. While self-report by the patient is viewed as the gold standard of pain …
Personalized automatic estimation of self-reported pain intensity from facial expressions
D Lopez Martinez, R Picard - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Pain is a personal, subjective experience that is commonly evaluated through visual analog
scales (VAS). While this is often convenient and useful, automatic pain detection systems …
scales (VAS). While this is often convenient and useful, automatic pain detection systems …
Continuous pain intensity estimation from autonomic signals with recurrent neural networks
D Lopez-Martinez, R Picard - 2018 40th Annual International …, 2018 - ieeexplore.ieee.org
Pain is usually measured by patient's self-report, which requires patient collaboration.
Hence, the development of an objective automatic pain detection method would be useful in …
Hence, the development of an objective automatic pain detection method would be useful in …
Multimodal ambulatory sleep detection using LSTM recurrent neural networks
Unobtrusive and accurate ambulatory methods are needed to monitor long-term sleep
patterns for improving health. Previously developed ambulatory sleep detection methods …
patterns for improving health. Previously developed ambulatory sleep detection methods …
Deep reinforcement learning for optimal critical care pain management with morphine using dueling double-deep Q networks
D Lopez-Martinez, P Eschenfeldt… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Opioids are the preferred medications for the treatment of pain in the intensive care unit.
While under-treatment leads to unrelieved pain and poor clinical outcomes, excessive use of …
While under-treatment leads to unrelieved pain and poor clinical outcomes, excessive use of …
Pain Detection with FNIRS-measured brain signals: a personalized machine learning approach using the wavelet transform and bayesian hierarchical modeling with …
D Lopez-Martinez, K Peng, A Lee… - … and Demos (ACIIW), 2019 - ieeexplore.ieee.org
Currently self-report pain ratings are the gold standard in clinical pain assessment.
However, the development of objective automatic measures of pain could substantially aid …
However, the development of objective automatic measures of pain could substantially aid …
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning
Pain is a subjective experience commonly measured through patient's self report. While
there exist numerous situations in which automatic pain estimation methods may be …
there exist numerous situations in which automatic pain estimation methods may be …
Detection of real-world driving-induced affective state using physiological signals and multi-view multi-task machine learning
D Lopez-Martinez, N El-Haouij… - 2019 8th International …, 2019 - ieeexplore.ieee.org
Affective states have a critical role in driving performance and safety. They can degrade
driver situation awareness and negatively impact cognitive processes, severely diminishing …
driver situation awareness and negatively impact cognitive processes, severely diminishing …
[HTML][HTML] User-centred design for machine learning in health care: a case study from care management
MG Seneviratne, RC Li, M Schreier… - BMJ Health & Care …, 2022 - ncbi.nlm.nih.gov
Objectives Few machine learning (ML) models are successfully deployed in clinical practice.
One of the common pitfalls across the field is inappropriate problem formulation: designing …
One of the common pitfalls across the field is inappropriate problem formulation: designing …