ClinicalTrials.gov
public full text
Public Domain
Monitoring Activity And Gait In Children
COHORT A: To study whether a digital health tool called Actigraph can be used to collect information on gait and physical activity in healthy children aged 3-17. The study will be conducted at the Pfizer Innovation Research Laboratory (PfIRe Lab) in Cambridge MA. In the lab at the first visit, we will ask participants to do activities such as walking on different surfaces as well as to roll a dice and move between different activity stations. Children will wear 2 Actigraph devices, one as a watch and one as a belt. They will then go home and do usual daily activities while answering a brief daily activity diary for approximately 2 weeks. The conclusion of the study will be over the telephone and include questions on the comfort and wearability of the device. The analysis of gait and physical activity as well as adherence and wearability will be looked across three different age groups 3-5, 6-11, and 12-17. COHORT B: Cohort B of the study aims to evaluate the feasibility of the Panoramic Bracelet and associated algorithms such as SleepPy and GaitPy compared to the GENEActiv device and to evaluate the comfort and wearability of the Panoramic Bracelet. The results of this study will enable the use of novel devices in future clinical trials measuring scratch and sleep. . In the lab at the first visit, we will ask participants to do activities such as walking on different surfaces as well as to roll a dice and move between different activity stations. They will then go home and do usual daily activities while wearing both devices in the same wrist at different times stipulated in the protocol, answering a brief daily activity and sleep diary for approximately 2 weeks. Cohort B includes questions on the comfort and wearability of the Panoramic device on Day 7 approximately. The conclusion of the study will be over the telephone.The analysis will be looked across three different age groups 3-5, 6-11, and 12-17
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Assessing Non-adjunctive CGM Safety at Home and in New Markets#896080
- Digital Fall Prevention Study#899705
- Associations between knee extensor strength and gait characteristics derived from shoe-based wearable sensors in older women.#342590
- Gait assessment using wearable technologies in neurological disorders: a rapid umbrella.#1147351
- NewGait: A Low-Cost Rehabilitation System to Improve Post-Stroke Gait (Biomechanical Adaptations)#1095422
Record · ID 1008258
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive