[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 …

[HTML][HTML] Quantitative gait and balance outcomes for ataxia trials: consensus recommendations by the ataxia global initiative working group on digital-motor biomarkers

W Ilg, S Milne, T Schmitz-Hübsch, L Alcock, L Beichert… - The Cerebellum, 2024 - Springer
With disease-modifying drugs on the horizon for degenerative ataxias, ecologically valid,
finely granulated, digital health measures are highly warranted to augment clinical and …

[HTML][HTML] The analytical and clinical validity of the pfSTEP digital biomarker of the susceptibility/risk of declining physical function in community-dwelling older adults

A Schoenfelder, B Metcalf, J Langford, A Stathi… - Sensors, 2023 - mdpi.com
Measures of stepping volume and rate are common outputs from wearable devices, such as
accelerometers. It has been proposed that biomedical technologies, including …

Digital phenotypes of instability and fatigue derived from daily standing transitions in persons with multiple sclerosis

T VanDyk, B Meyer, P DePetrillo… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Impairment in persons with multiple sclerosis (PwMS) can often be attributed to symptoms of
motor instability and fatigue. Symptom monitoring and queued interventions often target …

[HTML][HTML] NSF DARE—Transforming modeling in neurorehabilitation: Four threads for catalyzing progress

FJ Valero-Cuevas, J Finley, A Orsborn, N Fung… - Journal of …, 2024 - Springer
We present an overview of the Conference on Transformative Opportunities for Modeling in
Neurorehabilitation held in March 2023. It was supported by the Disability and Rehabilitation …

The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health

BC Loftness, J Halvorson-Phelan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Childhood mental health problems are common, impairing, and can become chronic if left
untreated. Children are not reliable reporters of their emotional and behavioral health, and …

Digital measurement of mobility in pulmonary arterial hypertension: A structured review of an emerging area

E Robertson, N Naghavi, MF Wipperman… - Digital …, 2024 - journals.sagepub.com
This review examined literature that has examined mobility in pulmonary arterial
hypertension (PAH) using digital technology. Specifically, the review focussed on:(a) digital …

Preterm preeclampsia risk modelling: examining hemodynamic, biochemical, and biophysical markers prior to pregnancy

BC Loftness, I Bernstein, CA McBride… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Preeclampsia (PE) is a leading cause of maternal and perinatal death globally and can lead
to unplanned preterm birth. Predicting risk for preterm or early-onset PE, has been …

Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis

BM Meyer, JG Cohen, P DePetrillo… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Postural instability is associated with disease status and fall risk in Persons with Multiple
Sclerosis (PwMS). However, assessments of postural instability, known as postural sway …

[HTML][HTML] Training from Zero: Forecasting of Radio Frequency Machine Learning Data Quantity

WH Clark IV, AJ Michaels - Telecom, 2024 - mdpi.com
The data used during training in any given application space are directly tied to the
performance of the system once deployed. While there are many other factors that are …