Automatic pain recognition from Blood Volume Pulse (BVP) signal using machine learning techniques [PDF]
arXiv, 2023 Physiological responses to pain have received increasing attention among researchers for developing an automated pain recognition sensing system. Though less explored, Blood Volume Pulse (BVP) is one of the candidate physiological measures that could help objective pain assessment. In this study, we applied machine learning techniques on BVP signals to
arxiv
British medical journal, 2015 Objective To assess the long term effects of multidisciplinary biopsychosocial rehabilitation for patients with chronic low back pain. Design Systematic review and random effects meta-analysis of randomised controlled trials.
S. Kamper +7 more
semanticscholar +1 more source
Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning [PDF]
arXiv, 2023 Low back pain (LBP) and sciatica may require surgical therapy when they are symptomatic of severe pain. However, there is no effective measures to evaluate the surgical outcomes in advance. This work combined elements of Eastern medicine and machine learning, and developed a preoperative assessment tool to predict the prognosis of lumbar spinal surgery
arxiv
Diagnosis and Characters of Non-Specific Low Back Pain in Japan: The Yamaguchi Low Back Pain Study. [PDF]
PLoS ONE, 2016 Cross sectional data from the Yamaguchi low back pain study conducted in Yamaguchi prefecture, Japan, was used for this analysis.A total of 320 patients were recruited from walk-in orthopedic clinics in Yamaguchi Prefecture, Japan.
Hidenori Suzuki +5 more
doaj +1 more source
Best evidence rehabilitation for chronic pain, part 3 : low back pain [PDF]
, 2019 Chronic Low Back Pain (CLBP) is a major and highly prevalent health problem. Given the high number of papers available, clinicians might be overwhelmed by the evidence on CLBP management.
Bilterys, Thomas +9 more
core +2 more sources
Spontaneous back-pain alters randomness in functional connections in large scale brain networks: A random matrix perspective [PDF]
Physica A; 2019, 2019 We use randomness as a measure to assess the impact of evoked pain on brain networks. Randomness is defined here as the intrinsic correlations that exist between different brain regions when the brain is in a task-free state. We use fMRI data of three brain states in a set of back pain patients monitored over a period of 6 months.
arxiv +1 more source
A randomized placebo-controlled pilot study of the efficacy and safety of D-cycloserine in people with chronic back pain. [PDF]
, 2016 BACKGROUND: Few effective pharmacological treatment options exist for chronic back pain, the leading cause of disability in the US, and all are associated with significant adverse effects. OBJECTIVE: To determine the efficacy and safety of D-cycloserine,
Apkarian, A. Vania +5 more
core +2 more sources
Spinopelvic Anatomic Parameters Prediction Model of NSLBP based on data mining [PDF]
, 2020 Objective: The purpose of this study is to perform analysis through the low back pain open data set to predict the incidence of non-specific chronic low back pain (NSLBP) to obtain a more accurate and convenient sagittal spinopelvic parameter model. Methods: The logistic regression analysis and multilayer perceptron(MLP) algorithm is used to construct ...
arxiv +1 more source
Molecular Oncology, EarlyView.Patient engagement involves actively including patients in healthcare decisions and research to ensure care and studies align with their needs. This approach improves outcomes, trust, and communication while fostering collaboration between patients and professionals.
Estela Cepeda +3 more
wiley +1 more source
Short-Term Effects of NO2 Exposure on Hospitalization for Chronic Kidney Disease
ToxicsThis study investigates the correlation between short-term exposure to nitrogen dioxide (NO2) and hospitalization for chronic kidney disease (CKD) in Lanzhou, China.
Wancheng Zhang, Ye Ruan, Jianglong Ling
doaj +1 more source