Activity Monitoring -actibelt®
The actibelt is a wearable device for assessment of physical activity in clinical trials developed and produced in Munich/Germany since 2005.
The level of a patient's walking ability or impairment in the context of controlled clinical trials is usually measured by using questionnaires. Common problems are substantial, uncontrollable bias and high inter- and intra-rater variability. Invalid outcome measures and/or invalid surrogate markers in a variety of chronic disabling diseases are a well-known problem. Physical activity in general and walking ability (distance, speed, quality) in particular play a major role as potential patient-oriented outcome measures and confounding factors in a broad range of diseases, multiple sclerosis, CAD and COPD being prominent examples. Insufficient assessment of this important variable that may also be a therapeutic option in its own right may lead to unnecessary noise and even bias in the data, thereby diluting and/or diminishing a potential beneficial effect of the treatment.
- Records multi sensor data with up to 100Hz for up to two months
- High compliance, no user interaction
- Robust positioning close to the body center of mass
- One-stop technology provider for algorithms, hardware, data management and consulting
- Parameters of interest for EMA/FDA e.g. real world walking speed
- Privacy by design, GDPR compliant, following GCP
- Global service in clincial trials since 2007 in Europe, USA, AUS, JPN, RUS, KOR, TWN, BLR, COL, ARG, CHL, MEX...
- Used by NASA, ESA, DLR and Roskosmos
- Pioneers in algorithm development - 20 years of experience in development and validation of biosignal analysis in a regulatory context.
- High compliance - Two ingredients make the actibelt the best choice fo clinical trials and result in high compliance: First, the long battery runtime of up to two months, requiring no user interaction and second, the unobstrusive design by hiding the sensor in a belt buckle.
- Simple integration in clinical trials - The actibelt tooling was designed to make the handling of the actibelt and its data as simple as possible for all users - patients, investigators, site personal.
When the actibelt gets deployed in a clicinal trial we focus on making the integration as lean as possible. We offer a cross-plattform software to configure the actibelts and to upload the fully encrypted data into a cloud based storage located in Germany.
time belt worn per day, steps walking per day, walking step frequency per day, total walking time per day, total distance travelled per day, mean velocity while walking/real world gait speed per week, maximum coherent walking distance per day, steps running per day, total running time per day, ratio of steps within sequences of 50 or more steps per day, number of short distance periods, number of long distance periods, activity temperature, activity level low, medium, high, mediolateral body sway test (m/sec2)
Like the decoding of the human genome revealed insights into human health, our measuring, studying and decoding of human movement, the "accelerome", reveals insights into improving neurodegenerative diseases, falls, old-age immobility, diabetes and obesity.
The actibelt® platform is in use in various international multi-centre trials and clinical-epidemiological studies in multiple sclerosis, CAD, osteoporosis, lupus, osteoarthritis, Parkinson’s disease, depression, schizophrenia, fracture heeling, COPD, sport & space science. Hundreds of patients, including children and elderly people, have been equipped with the actibelt®, more than 25.000 hours of recordings have been stored and analysed. The logistics allows for individualized use up to "high-throughput accelerometry", e.g. up to 50 patients per day can be equipped with the actibelt® per day per centre.
Participants were pleasantly surprised at the comfort of the Actibelt, professing it to be one of the easiest devices to wear in the study. The belt required no interaction, which when combined with its perceived comfort, resulted in participants forgetting about the device. Because of this, participants expressed positive intentions to wear it within a clinical trial. However, some felt that they may get bored of it due to its lack of feedback. Furthermore, it may not be suitable with all clothing during the summer due to its obvious black colour. Insight Centre for Data Analytics, within University College Dublin (2018)