Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)

JC Goldsack, A Coravos, JP Bakker, B Bent… - npj digital …, 2020 - nature.com
Digital medicine is an interdisciplinary field, drawing together stakeholders with expertize in
engineering, manufacturing, clinical science, data science, biostatistics, regulatory science …

Long-term unsupervised mobility assessment in movement disorders

E Warmerdam, JM Hausdorff, A Atrsaei, Y Zhou… - The Lancet …, 2020 - thelancet.com
Mobile health technologies (wearable, portable, body-fixed sensors, or domestic-integrated
devices) that quantify mobility in unsupervised, daily living environments are emerging as …

Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments

FM Rast, R Labruyère - Journal of neuroengineering and rehabilitation, 2020 - Springer
Background Recent advances in wearable sensor technologies enable objective and long-
term monitoring of motor activities in a patient's habitual environment. People with mobility …

Multidimensional ground reaction forces and moments from wearable sensor accelerations via deep learning

WR Johnson, A Mian, MA Robinson… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: Monitoring athlete internal workload exposure, including prevention of
catastrophic non-contact knee injuries, relies on the existence of a custom early-warning …

Modernizing daily function assessment in Parkinson's disease using capacity, perception, and performance measures

W Maetzler, L Rochester, R Bhidayasiri… - Movement …, 2021 - Wiley Online Library
Many disease symptoms restrict the quality of life of the affected. This usually occurs
indirectly, at least in most neurological diseases. Here, impaired daily function is interposed …

A new scheme for the development of IMU-based activity recognition systems for telerehabilitation

AM Nasrabadi, AR Eslaminia, PR Bakhshayesh… - Medical Engineering & …, 2022 - Elsevier
Wearable human activity recognition systems (HAR) using inertial measurement units (IMU)
play a key role in the development of smart rehabilitation systems. Training of a HAR system …

Assessment tasks and virtual exergames for remote monitoring of Parkinson's disease: An integrated approach based on Azure Kinect

G Amprimo, G Masi, L Priano, C Azzaro, F Galli… - Sensors, 2022 - mdpi.com
Motor impairments are among the most relevant, evident, and disabling symptoms of
Parkinson's disease that adversely affect quality of life, resulting in limited autonomy …

On-field player workload exposure and knee injury risk monitoring via deep learning

WR Johnson, A Mian, DG Lloyd, JA Alderson - Journal of biomechanics, 2019 - Elsevier
In sports analytics, an understanding of accurate on-field 3D knee joint moments (KJM)
could provide an early warning system for athlete workload exposure and knee injury risk …

Postural transitions detection and characterization in healthy and patient populations using a single waist sensor

A Atrsaei, F Dadashi, C Hansen, E Warmerdam… - … of neuroengineering and …, 2020 - Springer
Background Sit-to-stand and stand-to-sit transitions are frequent daily functional tasks
indicative of muscle power and balance performance. Monitoring these postural transitions …

[HTML][HTML] Implementation of mobile health technologies in clinical trials of movement disorders: underutilized potential

CA Artusi, G Imbalzano, A Sturchio, A Pilotto… - …, 2020 - Elsevier
Mobile health technologies (mHealth) are patient-worn or portable devices aimed at
increasing the granularity and relevance of clinical measurements. The implementation of …