Electromyography monitoring systems in rehabilitation: A review of clinical applications, wearable devices and signal acquisition methodologies

M Al-Ayyad, HA Owida, R De Fazio, B Al-Naami… - Electronics, 2023 - mdpi.com
Recently, there has been an evolution toward a science-supported medicine, which uses
replicable results from comprehensive studies to assist clinical decision-making. Reliable …

Biopotential signal monitoring systems in rehabilitation: A review

A Palumbo, P Vizza, B Calabrese, N Ielpo - Sensors, 2021 - mdpi.com
Monitoring physical activity in medical and clinical rehabilitation, in sports environments or
as a wellness indicator is helpful to measure, analyze and evaluate physiological …

Field-portable microplastic sensing in aqueous environments: A perspective on emerging techniques

MG Blevins, HL Allen, BC Colson, AM Cook… - Sensors, 2021 - mdpi.com
Microplastics (MPs) have been found in aqueous environments ranging from rural ponds
and lakes to the deep ocean. Despite the ubiquity of MPs, our ability to characterize MPs in …

A comparative study of deep learning‐based knowledge‐based planning methods for 3D dose distribution prediction of head and neck

AFI Osman, NM Tamam… - Journal of Applied Clinical …, 2023 - Wiley Online Library
Purpose In this paper, we compare four novel knowledge‐based planning (KBP) algorithms
using deep learning to predict three‐dimensional (3D) dose distributions of head and neck …

Three-dimensional ultrasound image reconstruction based on 3D-ResNet in the musculoskeletal system using a 1D probe: ex vivo and in vivo feasibility studies

Q Zou, Y Huang, J Gao, B Zhang… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Three-dimensional (3D) ultrasound (US) is needed to provide sonographers with
a more intuitive panoramic view of the complex anatomical structure, especially the …

Artificial intelligence in biology and medicine, and radioprotection research: perspectives from Jerusalem

Y Socol, A Richardson, I Garali-Zineddine… - Frontiers in Artificial …, 2024 - frontiersin.org
While AI is widely used in biomedical research and medical practice, its use is constrained
to few specific practical areas, eg, radiomics. Participants of the workshop on “Artificial …

CardiacField: computational echocardiography for automated heart function estimation using two-dimensional echocardiography probes

C Shen, H Zhu, Y Zhou, Y Liu, S Yi… - … Heart Journal-Digital …, 2024 - academic.oup.com
Background Accurate heart function estimation is vital for detecting and monitoring
cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely …

Pedaling Asymmetry Reflected by Bilateral EMG Complexity in Chronic Stroke

SC Bao, R Sun, RKY Tong - Entropy, 2024 - mdpi.com
This study examines pedaling asymmetry using the electromyogram (EMG) complexity of six
bilateral lower limb muscles for chronic stroke survivors. Fifteen unilateral chronic stroke and …

Machine learning as a control strategy for smart upper limb orthosis: a scoping review

LJ Holanda, APM Fernandes, SPN Netto, JA Amorim… - 2024 - researchsquare.com
Upper limb (UL) orthoses have long been used in rehabilitation to assist with movement and
improve functional outcomes. However, current orthoses often lack the ability to provide …

[PDF][PDF] Методология построения нейронной нечеткой сети в области информационной безопасности

АБ Архипова, ПА Поляков - Безопасность цифровых …, 2021 - scholar.archive.org
С глобализацией и ростом зависимости общества от программных систем
информация и данные, имеющие первостепенное значение для компаний и частных …