ActiGraph Hardware & Software
GT3X 16MB Activity Monitor
- Inclinometer
- 16MB memory
- 20 day battery life
GT3X+ 256MB
Activity Monitor
- Adjustable sample rate
- 8 days of data collection
- Water resistant case
ActiTrainer
Research Model
- Heart rate measurement
- Real time display
- Ambient light sensor
ActiSleep
Sleep Monitor
- Ambient light sensor
- Sleek, compact design
- 8 day battery life
ActiLife Software
Data Analysis
- Multi-device initialization
- Wear time validation
- Advanced graphing
The ActiGraph uses a dual-axis, solid state accelerometer to measure human movement against the force of gravity. This technology was first developed in the early 1990s by the US military to measure the performance levels of troops. In the following years, the applications for actigraphy have grown to include physical activity research, sleep diagnostics, rehabilitation monitoring, obesity and diabetes prevention, sports medicine, pharmaceutical drug testing, veterinary science and much more!
All ActiGraph Devices Can Measure...
In 1988, a skilled team of professors and engineers collaborated to design a device for the United States Military to measure the activity levels of troops in the field. Realizing the potential of their product, the company, Computer Science and Applications, Inc. (CSA), began marketing this actigraphy monitor to potential customers in institutions all over the world. In 2001, CSA was acquired by Manufacturing Technology, Inc (MTI) who improved upon the device, eventually generating enough interest worldwide to justify the formation of ActiGraph in 2004.
Today, researchers and physicians in over 40 countries are using ActiGraph activity monitors in the fields of exercise science, obesity and diabetes research, sleep diagnostics, rehabilitation monitoring, sports medicine, pharmaceutical drug testing and veterinary science.
GT1MTechnicalDocumentation.pdf ActiLife[Software].pdf ActiGraph_Applications_(Sleep)[1].pdf
Research Database
20MonthPACholesterol[1].pdf20-month Prospective Study of Physical Activity and the Cholesterol Profile of 224 Women A novel method for using accelerometer data to predict energy expenditure.pdfA Novel Method for Using Accelerometer Data to Predict Energy Expenditure A Revised Alogrithm for Estimating Energy Expenditure in Wildland Firefighters with the CSA Activity