A systematic review of neurophysiological sensing for the assessment of acute pain

R Fernandez Rojas, N Brown, G Waddington… - NPJ digital …, 2023 - nature.com
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 …

On the reliability of wearable technology: A tutorial on measuring heart rate and heart rate variability in the wild

V Dudarev, O Barral, C Zhang, G Davis, JT Enns - Sensors, 2023 - mdpi.com
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 …

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 …

Q8VaxStance: Dataset Labeling System for Stance Detection towards Vaccines in Kuwaiti Dialect

H Alostad, S Dawiek, H Davulcu - Big Data and Cognitive Computing, 2023 - mdpi.com
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 …

Transformer encoder with multiscale deep learning for pain classification using physiological signals

Z Lu, B Ozek, S Kamarthi - Frontiers in Physiology, 2023 - frontiersin.org
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 …

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 …

[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 …

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 …

Pain level modeling of intensive care unit patients with machine learning methods: An effective congeneric clustering-based approach

R Fang, R Zhang, SM Hosseini, M Faghih… - 2022 4th International …, 2022 - dl.acm.org
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 …

[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 …