A systematic review of neurophysiological sensing for the assessment of acute pain
Pain is a complex and personal experience that presents diverse measurement challenges.
Different sensing technologies can be used as a surrogate measure of pain to overcome …
Different sensing technologies can be used as a surrogate measure of pain to overcome …
On the reliability of wearable technology: A tutorial on measuring heart rate and heart rate variability in the wild
Wearable sensors are quickly making their way into psychophysiological research, as they
allow collecting data outside of a laboratory and for an extended period of time. The present …
allow collecting data outside of a laboratory and for an extended period of time. The present …
Automatic detection of pain using machine learning
BD Winslow, R Kwasinski, K Whirlow, E Mills… - Frontiers in pain …, 2022 - frontiersin.org
Pain is one of the most common symptoms reported by individuals presenting to hospitals
and clinics and is associated with significant disability and economic impacts; however, the …
and clinics and is associated with significant disability and economic impacts; however, the …
Q8VaxStance: Dataset Labeling System for Stance Detection towards Vaccines in Kuwaiti Dialect
The Kuwaiti dialect is a particular dialect of Arabic spoken in Kuwait; it differs significantly
from standard Arabic and the dialects of neighboring countries in the same region. Few …
from standard Arabic and the dialects of neighboring countries in the same region. Few …
Transformer encoder with multiscale deep learning for pain classification using physiological signals
Pain, a pervasive global health concern, affects a large segment of population worldwide.
Accurate pain assessment remains a challenge due to the limitations of conventional self …
Accurate pain assessment remains a challenge due to the limitations of conventional self …
A Review on the Use of Physiological Signals for Assessing Postoperative Pain
D Pais, S Brás, R Sebastião - ACM Computing Surveys, 2024 - dl.acm.org
The assessment of pain intensity after surgery is important for guiding pain management.
Due to the limitations of current pain evaluation tools, there is increasing interest in using …
Due to the limitations of current pain evaluation tools, there is increasing interest in using …
[PDF][PDF] The Overview of Challenges in Detecting Patients' Hazards During Robot-Aided Remote Home Motor Rehabilitation.
J Wilk, P Falkowski, T Osiak - Journal of Automation, Mobile Robotics & …, 2024 - sciendo.com
Minimally‐supervised home rehabilitafion has become an arising technological trend due to
the shortages in medical staff. Implemenfing such requires providing advanced tools for …
the shortages in medical staff. Implemenfing such requires providing advanced tools for …
Prediction model of postoperative pain exacerbation using an intravenous patient-controlled analgesia device and a wearable electrocardiogram sensor
T Nakanishi, K Fujiwara, K Sobue - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
There is a need to develop objective and real-time postoperative pain assessment methods
in perioperative medicine. Few studies have evaluated the relationship between pain …
in perioperative medicine. Few studies have evaluated the relationship between pain …
Pain level modeling of intensive care unit patients with machine learning methods: An effective congeneric clustering-based approach
Recent studies showed that machine learning can assist to better evaluate the induced pain
level (s) on healthy individuals in a controlled environment. However, the role of these …
level (s) on healthy individuals in a controlled environment. However, the role of these …
[Retracted] Deep Learning‐Based ECG Abnormality Identification Prediction and Analysis
W Liang - Journal of Sensors, 2022 - Wiley Online Library
In recent years, China's economy has been developing rapidly, and people's life and quality
of life have been improving; more importantly, people's habits and living habits have also …
of life have been improving; more importantly, people's habits and living habits have also …