A five-sensor IMU-based Parkinson's disease patient and control dataset including three activities of daily living
Creators: name: Russell, Joseph
name: Inches, Jemma
name: Carroll, Camille
name: Bergmann, Jeroen
Publisher: name: Zenodo
Year: 2023
Subjects: Parkinson disease
Activities of daily living
Inertial Measurement Units
Activity Recognition
Intent Sensing
Motion Data

description: Parkinson's disease is an often-debilitating progressive neurological condition leading to loss of motor control. This dataset contains kinematic sensor data from two groups: one containing 15 patients with Parkinson's disease, and a control group of 19 participants without any known neurological condition. Participant ages ranged from 40–85, 21 were male, and 13 were female. The participants wore five 9-axis Inertial Measurement Units (IMUs) – one on each upper arm, each lower arm, and on their head. They were asked to perform a calibration pose, followed by three activities: making toast, putting on a cardigan, and unlocking and opening a door, with each activity repeated three times. The IMUs recorded time-series acceleration and orientation data from the moment where the participant was instructed to begin the activity (inception of the idea to act), through to the activity's completion. This dataset is planned for use in intent-sensing studies for assistive device control but is also applicable for activity recognition.
description: The data is provided as a separate folder for each participant, with each trial saved as a separate .xls file, which can be opened in Microsoft Excel or similar, and imported into software such as Matlab.Funding provided by: Engineering and Physical Sciences Research Council<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000266<br>Award Number: 811504
description: Data in this study came from a set of 34 volunteers, 15 of whom had Parkinson's disease and 19 of whom did not. 21 of the participants were male and 13 female, with ages ranging from 40 to 85. All volunteers signed an informed consent form and ethical approval for the study was obtained from the NRES Committee South West (REC reference 13/SW/0287). The data collection was performed by research nurses, who supervised the participants throughout the process. Initially, the participants stood in a calibration pose, with their arms by their sides, with this data recorded for standardization. The participants then performed three activities of daily living (ADLs) – unlocking and opening a door, buttoning and unbuttoning a cardigan, and making toast. Each activity was repeated three times, without a break. Data recording began at the moment the participant was instructed to begin the task. The participants each wore five Xsens IMU three-axis nine-channel IMUs (MTx, Xsens Technologies B. V., Enschede, Netherlands). These were secured to the participants' lower and upper arms (both left and right), and to their head. See the supplementary figure for a photograph of this. During the activities, the participant was engaged in conversation by the supervising research nurses but were asked not to talk about the activity they were performing. This engagement was aimed at making the motor behaviour more natural and to better represent activities of daily living in which cognitive loading is increased due to the application of multitasking. Each IMU provided magnetometer, gyroscope, and accelerometer data, along with a 3x3 rotation matrix provided by the XSens software.