Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial.
Arne MuellerHolger Alfons HoeflingAmir MuaremiJens PraestgaardLorcan C WalshOla BunteRoland Martin HuberJulian FürmetzAlexander Martin KepplerMatthias SchiekerWolfgang BöckerRonenn RoubenoffSophie BrachatDaniel S RooksIeuan ClayPublished in: JMIR mHealth and uHealth (2019)
This study showed, for the first time, accurate capture of real-world gait speed in slow-walking older adults with sarcopenia. We demonstrated the feasibility of long-term digital monitoring of mobility in geriatric populations, establishing that sufficient data can be collected to allow robust monitoring of gait behaviors outside the clinic, even in the absence of feedback or incentives. Using inferred context, we demonstrated the ecological validity of in-clinic gait assessments, describing positive associations between in-clinic performance and real-world walking behavior. We make all data available as an open source resource for the community, providing a basis for further study of the relationship between standardized physical performance assessment and real-world behavior and independence.
Keyphrases
- clinical trial
- primary care
- healthcare
- physical activity
- mental health
- electronic health record
- lower limb
- big data
- randomized controlled trial
- skeletal muscle
- machine learning
- hepatitis c virus
- smoking cessation
- cross sectional
- human immunodeficiency virus
- mass spectrometry
- risk assessment
- phase ii
- antiretroviral therapy
- placebo controlled
- genetic diversity