AIMC Topic: Autonomic Nervous System
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Total mesorectal excision for rectal cancer with emphasis on pelvic autonomic nerve preservation: Expert technical tips for robotic surgery.
Surgical oncology
Jun 17, 2015
The primary goal of surgical intervention for rectal cancer is to achieve an oncologic cure while preserving function. Since the introduction of total mesorectal excision (TME), the oncologic outcome has improved greatly in terms of local recurrence ...
Refined matrix completion for spectrum estimation of heart rate variability.
Mathematical biosciences and engineering : MBE
Aug 2, 2024
Heart rate variability (HRV) is an important metric in cardiovascular health monitoring. Spectral analysis of HRV provides essential insights into the functioning of the cardiac autonomic nervous system. However, data artefacts could degrade signal q...
Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis.
The Journal of toxicological sciences
Jan 1, 2024
Drug-induced convulsions are a major challenge to drug development because of the lack of reliable biomarkers. Using machine learning, our previous research indicated the potential use of an index derived from heart rate variability (HRV) analysis in...
Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan.
Studies in health technology and informatics
Jun 29, 2023
Intermittent fasting has been practiced for centuries across many cultures globally. Recently many studies have reported intermittent fasting for its lifestyle benefits, the major shift in eating habits and patterns is associated with several changes...
Autonomic perspiration in 3D-printed hydrogel actuators.
Science robotics
Jan 29, 2020
In both biological and engineered systems, functioning at peak power output for prolonged periods of time requires thermoregulation. Here, we report a soft hydrogel-based actuator that can maintain stable body temperatures via autonomic perspiration....
Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics.
Pain
Mar 1, 2019
Although self-report pain ratings are the gold standard in clinical pain assessment, they are inherently subjective in nature and significantly influenced by multidimensional contextual variables. Although objective biomarkers for pain could substant...
Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
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 many clinical applications and patient populations. Previous studies ha...
Engineering reaction-diffusion networks with properties of neural tissue.
Lab on a chip
Feb 27, 2018
We present an experimental system of networks of coupled non-linear chemical reactors, which we theoretically model within a reaction-diffusion framework. The networks consist of patterned arrays of diffusively coupled nanoliter-scale reactors contai...
Cardiovascular Dysautonomias Diagnosis Using Crisp and Fuzzy Decision Tree: A Comparative Study.
Studies in health technology and informatics
Jan 1, 2016
Decision trees (DTs) are one of the most popular techniques for learning classification systems, especially when it comes to learning from discrete examples. In real world, many data occurred in a fuzzy form. Hence a DT must be able to deal with such...
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