Python Datalogger Tool for Movesense Flash Published
To meet the growing demand for the Movesense Flash sensor and the need for tools related to its use, we are releasing a new Python-based application for managing the standalone recording function of the Movesense Flash.
The Movesense Flash sensor’s 128MB internal memory allows for long-term recording of ECG, heart rate and movement data without a constant wireless connection to a host device.
For example, the memory can hold five days of single-channel ECG data at a sampling rate of 125 Hz, three-axis acceleration data at a frequency of 26 Hz for four days, or continuous heart rate interval data for up to four months. However, if you really wanted to fill the memory with heart rate interval data, there would be a few short breaks in between, because one battery lasts up to five weeks.
Read more about the device’s features on the Movesense Flash product page.
Considering the device’s validated accuracy, unobtrusive wear, versatile use, and affordable price compared to other devices with similar performance, it is no wonder that its popularity is rapidly increasing. We are seeing growing interest especially in research use, but also the healthcare sector starts realizing the sensor’s potential in various applications.
The new Python Datalogger Tool supports managing the standalone data recording with multiple Movesense Flash sensors. It exists in two versions, as a command prompt tool and with a graphical user interface. It makes it easy to set recorded parameters and their sampling rates, start and stop recording, and retrieve recorded files with one or many sensors.
The graphical UI version first supports ECG recording only, but an update with the full selection of settings including IMU data streams is also soon ready to be released. Data output options are CSV, JSON and for ECG data also EDF+.
Visit Movesense Bitbucket to install the Python Datalogger Tool for your own use. Be sure to read the instructions to get the most out of using the tool.
