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Study Protocol
Smartwatch Monitoring for Atrial Fibrillation
After Stroke #: NCT03761394
Date of document: 04/04/19Pulsewatch ISP V 1.1
Docket#: H00016067PULSEWATCH INVESTIGATOR STUDY PLAN
1)
Study
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How to fill out study protocol smartwatch monitoring
01
To fill out a study protocol for smartwatch monitoring, follow these steps:
02
Start by outlining the objective and purpose of the study. Clearly define what information you hope to gather and analyze using smartwatch monitoring.
03
Specify the target population or participants for the study. Determine the criteria for selecting individuals who will use the smartwatches for monitoring purposes.
04
Define the variables and parameters that will be monitored through the smartwatches. This could include heart rate, sleep patterns, activity levels, etc.
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Create a detailed methodology for collecting data. Decide how frequently participants will wear the smartwatches and for how long. Determine the data collection intervals and protocols.
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Develop a data analysis plan. Define how the collected data will be processed, analyzed, and interpreted to draw meaningful conclusions.
07
Consider ethical considerations and obtain necessary approvals. Ensure that participant consent and data privacy are addressed.
08
Provide a clear timeline for the study. Specify the duration of the study and any specific milestones or deadlines that need to be met.
09
Outline the resources required for the study, such as smartwatches, data analysis tools, personnel, etc.
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Include any potential risks or limitations of the study. Discuss the challenges that might arise and how they will be addressed.
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Finally, proofread and review the study protocol before finalizing it. Make sure all sections are clear, concise, and comprehensive.
Who needs study protocol smartwatch monitoring?
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- Organizations aiming to collect data on physical activity levels or vital signs of individuals for statistical analysis or research purposes.
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- Individuals participating in clinical trials or studies where smartwatch monitoring is a part of data collection and analysis.
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