Article

Mobile health tools that enable clinicians and researchers to monitor the type,
quantity, and quality of everyday activities of patients and trial participants
have long been needed to improve daily care, design more clinically meaningful
randomized trials of interventions, and establish cost-effective, evidence-based
practices. Inexpensive, unobtrusive wireless sensors, including accelerometers,
gyroscopes, and pressure-sensitive textiles, combined with Internet-based
communications and machine-learning algorithms trained to recognize upper- and
lower-extremity movements, have begun to fulfill this need. Continuous data from
ankle triaxial accelerometers, for example, can be transmitted from the home and
community via WiFi or a smartphone to a remote data analysis server. Reports can
include the walking speed and duration of every bout of ambulation,
spatiotemporal symmetries between the legs, and the type, duration, and energy
used during exercise. For daily care, this readily accessible flow of real-world
information allows clinicians to monitor the amount and quality of exercise for
risk factor management and compliance in the practice of skills. Feedback may
motivate better self-management as well as serve home-based rehabilitation
efforts. Monitoring patients with chronic diseases and after hospitalization or
the start of new medications for a decline in daily activity may help detect
medical complications before rehospitalization becomes necessary. For clinical
trials, repeated laboratory-quality assessments of key activities in the
community, rather than by clinic testing, self-report, and ordinal scales, may
reduce the cost and burden of travel, improve recruitment and retention, and
capture more reliable, valid, and responsive ratio-scaled outcome measures that
are not mere surrogates for changes in daily impairment, disability, and functioning.
Parkinson - SEP - AVC
Télémédecine

Langue : ANGLAIS