Conducting clinical trials successfully does not only mean having adequate protocols, recruitment and patient adherence but also the capabilities to analyse the results obtained from those trials.
Aparito supports a wide range of reporting and analytical capabilities with the ability to integrate with other EDCs or provide raw data exports in the format you need.
The data science team at Aparito enhance your data analysis plan by introducing techniques such as computer vision, image & signal processing, time series analyses and Machine Learning (ML) tools to enhance data insight.
As your study progresses, Aparito can help formulate the questions you want to answer.
Video Analysis for Clinical Trials
Atom5TM video analysis locates specific points on the body and computes the speed and trajectory of each movement to explore smoothness of motion and erratic patterns, enabling clinicians to assess features such as gait and posture.
Part of our eCOA suite of tools, video capture has multiple applications but is especially helpful for movement disorders. Our pioneering work with Duchenne UK on DMDhome demonstrates the potential that video assessments have for more meaningful endpoints as documented in our paper, “Patient-led development of digital endpoints and the use of computer vision analysis in assessment of motor function in rare diseases“.
Here are three examples of our video analysis in action.
Turn & Sit Action
The plot shows the location of the shoulders through the turn & sit motion. Each dot is the location in the image of the shoulders in the frame of the video. Dot size illustrates time; the larger the dot, the later in the video. In the clip and in the plot, the turn and then lower to sit can be observed as relatively distinct actions.
The plot shows the inner angle at the right knee. It’s difficult to interpret data from the entire duration of the walk, as the depth of the subject relative to the camera is constantly changing, and even if stationary, there is depth to the subject’s body (e.g. the distance between the feet mid-stride) and we have a 2D representation of this 3D reality. However, a point of interest is to see whether the leg becomes straight (the 180-degree dashed line) when the foot is placed down on the ground!
The plot shows the angle between the shoulder and the wrist. The 0-degree dashed line implies that the arm is straight down. The oscillation peaks illustrate the extent of the arm swing. Two associated videos show an observable difference in magnitude, which is clearly seen in the plot.