Discovery and validation of biomarkers to aid the development of safe and effective pain therapeutics: challenges and opportunities

KD Davis, N Aghaeepour, AH Ahn, MS Angst… - Nature Reviews …, 2020 - nature.com
Pain medication plays an important role in the treatment of acute and chronic pain
conditions, but some drugs, opioids in particular, have been overprescribed or prescribed …

A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms

R Caldas, M Mundt, W Potthast, FB de Lima Neto… - Gait & posture, 2017 - Elsevier
The conventional methods to assess human gait are either expensive or complex to be
applied regularly in clinical practice. To reduce the cost and simplify the evaluation, inertial …

Machine learning in pain research

J Lötsch, A Ultsch - Pain, 2018 - journals.lww.com
Pain and pain chronification are incompletely understood and unresolved medical problems
that continue to have a high prevalence. 14 It has been accepted that pain is a complex …

Automatic recognition of gait patterns in human motor disorders using machine learning: A review

J Figueiredo, CP Santos, JC Moreno - Medical engineering & physics, 2018 - Elsevier
Background automatic recognition of human movement is an effective strategy to assess
abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …

Evaluation of age-related differences in the stride-to-stride fluctuations, regularity and symmetry of gait using a waist-mounted tri-axial accelerometer

D Kobsar, C Olson, R Paranjape, T Hadjistavropoulos… - Gait & posture, 2014 - Elsevier
Purpose To compare the stride-to-stride fluctuations, regularity and symmetry of gait using a
body-fixed accelerometer in a group of healthy young and healthy older adults. Methods …

[PDF][PDF] Inertial sensors versus standard systems in gait analysis: A systematic review and meta-analysis

F Petraglia, L Scarcella, G Pedrazzi… - European journal of …, 2019 - lirias.kuleuven.be
INTRODUCTION: The increasing popularity of inertial sensors in clinical practice is not
supported by precise information on their reliability or guidelines for their use in …

Wearable sensor-based rehabilitation exercise assessment for knee osteoarthritis

KH Chen, PC Chen, KC Liu, CT Chan - Sensors, 2015 - mdpi.com
Since the knee joint bears the full weight load of the human body and the highest pressure
loads while providing flexible movement, it is the body part most vulnerable and susceptible …

Classification of gait rhythm signals between patients with neuro-degenerative diseases and normal subjects: Experiments with statistical features and different …

Y Xia, Q Gao, Q Ye - Biomedical Signal Processing and Control, 2015 - Elsevier
For the purpose of realizing an intelligent and highly accurate diagnosis system for neuro-
degenerative diseases (NDD), such as amyotrophic lateral sclerosis (ALS), Parkinson's …

Recent use of deep learning techniques in clinical applications based on gait: a survey

Y Matsushita, DT Tran, H Yamazoe… - … of Computational Design …, 2021 - academic.oup.com
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …