Stroke case - Smart Belt Dataset

<p><span><span>The dataset contains 22,056,714 samples collected from patients with stroke. The data was gathered using a smart belt with accelerometer and gyroscope sensors. Two belts were used to record the physical activities of the patients, where Belt 1 (B1) comprised 3,158,873 samples, and Belt 2 (B2) contained 18,897,841 samples. Each belt was attached at specific body locations around the waist, including the left, right, and middle hip. The variables generated from the sensors were recorded at a frequency of 100Hz and are described as follows:</span></span></p> <ol> <li> <p><span><span><strong>Packet ID</strong></span></span><span><span>: distinguishes data packets that change with time. </span></span></p> </li> <li> <p><span><span><strong>Timestamp:</strong></span></span><span><span> the time that a reading was taken on a sensor</span></span></p> </li> <li> <p><span><span><strong>Timer:</strong></span></span><span><span> Timer of the sensor</span></span></p> </li> <li> <p><span><span><strong>Acceleration X:</strong></span></span><span><span> Linear acceleration in the X-axis</span></span></p> </li> <li> <p><span><span><strong>Acceleration Y:</strong></span></span><span><span> Linear accelerations in the y-axis </span></span></p> </li> <li> <p><span><span><strong>Acceleration Z:</strong></span></span><span><span> Linear acceleration in the z-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope X:</strong></span></span><span><span> Angular acceleration in the x-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope Y:</strong></span></span><span><span> Angular acceleration in the y-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope Z:</strong></span></span><span><span> Angular acceleration in the z-axis</span></span></p> </li> <li> <p><span><span><strong>Temperature:</strong></span></span><span><span> internal temperature for signal compensation</span></span></p> </li> </ol> <p><span><span>After acquiring raw sensor signals, a series of minor preprocessing tasks were performed on this dataset. These include reformatting the data with a suitable format, removing null values, and preparing the data for analysis.</span></span></p>