[HTML][HTML] Wearable sensor technologies to assess motor functions in people with multiple sclerosis: systematic scoping review and perspective

T Woelfle, L Bourguignon, J Lorscheider… - Journal of Medical …, 2023 - jmir.org
Background Wearable sensor technologies have the potential to improve monitoring in
people with multiple sclerosis (MS) and inform timely disease management decisions …

Wearable inertial sensors to assess gait during the 6-minute walk test: A systematic review

FA Storm, A Cesareo, G Reni, E Biffi - Sensors, 2020 - mdpi.com
Wearable sensors are becoming increasingly popular for complementing classical clinical
assessments of gait deficits. The aim of this review is to examine the existing knowledge by …

Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients

K Hebbrecht, M Stuivenga, T Birkenhäger, M Morrens… - BMC medicine, 2020 - Springer
Background Major depressive disorder (MDD) shows large heterogeneity of symptoms
between patients, but within patients, particular symptom clusters may show similar …

Smartphone-and smartwatch-based remote characterisation of ambulation in multiple sclerosis during the two-minute walk test

AP Creagh, C Simillion, AK Bourke… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Leveraging consumer technology such as smartphone and smartwatch devices to
objectively assess people with multiple sclerosis (PwMS) remotely could capture unique …

Towards a mobile gait analysis for patients with a spinal cord injury: a robust algorithm validated for slow walking speeds

C Werner, C Awai Easthope, A Curt, L Demkó - Sensors, 2021 - mdpi.com
Spinal cord injury (SCI) patients suffer from diverse gait deficits depending on the severity of
their injury. Gait assessments can objectively track the progress during rehabilitation and …

Body fat prediction through feature extraction based on anthropometric and laboratory measurements

Z Fan, R Chiong, Z Hu, F Keivanian, F Chiong - Plos one, 2022 - journals.plos.org
Obesity, associated with having excess body fat, is a critical public health problem that can
cause serious diseases. Although a range of techniques for body fat estimation have been …

Balance deficits due to cerebellar ataxia: A machine learning and cloud-based approach

T Ngo, PN Pathirana, MK Horne… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Cerebellar ataxia (CA) refers to the disordered movement that occurs when the cerebellum
is injured or affected by disease. It manifests as uncoordinated movement of the limbs …

The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice

K Trentzsch, ML Weidemann, C Torp… - Frontiers in …, 2020 - frontiersin.org
Walking impairments represent one of the most debilitating symptom areas for people with
multiple sclerosis (MS). It is important to detect even slightest walking impairments in order …

Middle-age people with multiple sclerosis demonstrate similar mobility characteristics to neurotypical older adults

CW Swanson, SB Richmond, BE Sharp… - Multiple Sclerosis and …, 2021 - Elsevier
Background Clinical trials often report significant mobility differences between neurotypical
and atypical groups, however, these analyses often do not determine which measures are …

Progression events defined by home-based assessment of motor function in multiple sclerosis: protocol of a prospective study

EM Dorsch, HM Röhling, D Zocholl… - Frontiers in …, 2023 - frontiersin.org
Background This study relates to emerging concepts of appropriate trial designs to evaluate
effects of intervention on the accumulation of irreversible disability in multiple sclerosis (MS) …