Dataset on gait patterns in degenerative neurological diseases

We collected the gait parameters and lower limb joint kinematics of patients with three different types of primary degenerative neurological diseases: (i) cerebellar ataxia (19 patients), (ii) hereditary spastic paraparesis (26 patients), and (iii) Parkinson’s disease (32 patients). Sixty-five gender-age matched healthy subjects were enrolled as control group. An optoelectronic motion analysis system was used to measure time-distance parameters and lower limb joint kinematics during gait in both patients and healthy controls.


Subject area
Biomechanics More specific subject area

Movement disorders
Type of data Tables  How data was  acquired The data were acquired using an optoelectronic motion analysis system (SMART-DX 500 System, BTS, Milan, Italy).

Data format analyzed Experimental factors
No pretreatment was performed on the sample

Experimental features
Subjects were asked to walk barefoot at a comfortable, self-selected speed along a walkway approximately 10 m in length while looking forward Data source location The data were recorded in the Motion Analysis Lab between October 2011 and May 2014 in Policlinico Italia, Rome, Italy Data accessibility The data are available with this article

Value of the data
The gait data provided here can be used for further analyses aimed at individuating uncommon subtypes of gait patterns.
The data may serve as a benchmark for other researchers in the investigation on other types of gait disorders.
Our data may be shared with those of other motion analysis LABs in order to improve the statistical analysis power.

Data
The data we are sharing with this article are gait spatio-temporal parameters and joint kinematics of patients affected by cerebellar ataxia, hereditary spastic paraplegia and Parkinson's Disease. Sixtyfive gender-age-speed matched healthy subjects were enrolled as control group [1]. Tables 1-4 shows   Table 1 Cerebellar ataxic (CA) patients' anthropometric and clinical characteristics.  ' anthropometric and clinical characteristics, while Tables 5-8 illustrates the patients' and controls' gait spatio-temporal parameters and joint kinematics.

Experimental design, materials and methods
Patients were asked to walk barefoot at a comfortable, self-selected speed along a walkway approximately 10 m in length while looking forward, while controls were asked to walk at slow speed. At least five trials were recorded for each patient and for each control. To avoid muscle fatigue, each trial was separated by a one-minute rest period.
Three-dimensional (3-D) marker trajectories were recorded using a frame-by-frame acquisition system (SMART Capture -BTS, Milan, Italy) and labeled using a frame-by-frame tracking system (SMART Tracker -BTS, Milan, Italy). Marker position data were interpolated and low-pass filtered using a zero-lag fourth-order Butterworth filter (6 Hz), [2] and analyzed using 3-D reconstruction software (SMART Analyzer, BTS, Milan, Italy) and MATLAB software (MATLAB 7.4.0, MathWorks, Natick, MA, USA).
The following time parameters were calculated for each subject: stance duration (time interval between two consecutive heel strikes of the same lower limb), swing duration (time interval between toe off and the next heel strike of the same lower limb), and double support duration (time interval with both feet on the floor), all expressed as a percentage of the stride duration. The following spatial parameters were computed for all the enrolled subjects: step length and step width, both expressed in meters. Furthermore, walking speed (m/s) and cadence (steps/min) were calculated for each subject.    Table 5 Cerebellar ataxia (CA) patients' gait spatio-temporal parameters and joint kinematics.
Step   The anatomical angles were computed for hip, knee, and ankle joints in the sagittal plane. From these variables, the RoM at each joint or segment, defined as the difference between the maximum and minimum value during the gait cycles, were derived. For each subject and each trial, kinematic data between two consecutive heel strikes of the same limb were time-normalized to 101 points, i.e. 0-100 % of the gait cycle, using a polynomial procedure, in order to exclude the influence of different stride durations, [3].

Transparency document. Supporting information
Transparency data associated with this article can be found in the online version at https://doi.org/ 10.1016/j.dib.2017.12.022.