Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes

A Polhemus, L Delgado-Ortiz, G Brittain… - NPJ digital …, 2021 - nature.com
Physical mobility is essential to health, and patients often rate it as a high-priority clinical
outcome. Digital mobility outcomes (DMOs), such as real-world gait speed or step count …

IoT-enabled gait assessment: the next step for habitual monitoring

F Young, R Mason, RE Morris, S Stuart, A Godfrey - Sensors, 2023 - mdpi.com
Walking/gait quality is a useful clinical tool to assess general health and is now broadly
described as the sixth vital sign. This has been mediated by advances in sensing …

Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease

F Lipsmeier, KI Taylor, RB Postuma… - Scientific reports, 2022 - nature.com
Digital health technologies enable remote and therefore frequent measurement of motor
signs, potentially providing reliable and valid estimates of motor sign severity and …

Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response

Y Liu, G Zhang, CG Tarolli, R Hristov… - Science Translational …, 2022 - science.org
Parkinson's disease (PD) is the fastest-growing neurological disease in the world. A key
challenge in PD is tracking disease severity, progression, and medication response. Existing …

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

ME Micó-Amigo, T Bonci, A Paraschiv-Ionescu… - … of neuroengineering and …, 2023 - Springer
Background Although digital mobility outcomes (DMOs) can be readily calculated from real-
world data collected with wearable devices and ad-hoc algorithms, technical validation is …

A deep learning approach for gait event detection from a single Shank-Worn IMU: validation in healthy and neurological cohorts

R Romijnders, E Warmerdam, C Hansen, G Schmidt… - Sensors, 2022 - mdpi.com
Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement
unit (IMU) sensors to detect gait events (ie, initial and final foot contact). However, these …

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

C Kirk, A Küderle, ME Micó-Amigo, T Bonci… - Scientific reports, 2024 - nature.com
This study aimed to validate a wearable device's walking speed estimation pipeline,
considering complexity, speed, and walking bout duration. The goal was to provide …

Arm swing responsiveness to dopaminergic medication in Parkinson's disease depends on task complexity

E Warmerdam, R Romijnders, C Hansen… - npj Parkinson's …, 2021 - nature.com
The evidence of the responsiveness of dopaminergic medication on gait in patients with
Parkinson's disease is contradicting. This could be due to differences in complexity of the …

Quantifying turning tasks with wearable sensors: a reliability assessment

AR Weston, P Antonellis, PC Fino, CW Hoppes… - Physical …, 2024 - academic.oup.com
Objective The aim of this study was to establish the test–retest reliability of metrics obtained
from wearable inertial sensors that reflect turning performance during tasks designed to …

[HTML][HTML] Association of prospective falls in older people with ubiquitous step-based fall risk parameters calculated from ambulatory inertial signals: secondary data …

N Al Abiad, KS van Schooten, V Renaudin, K Delbaere… - JMIR aging, 2023 - aging.jmir.org
Background: In recent years, researchers have been advocating for the integration of
ambulatory gait monitoring as a complementary approach to traditional fall risk …