skills training and rehabilitation (Chen et al., 2009).
Therefore, an innovative solution was created
called "VR4NeuroPain", which associates virtual
reality with sensory and motor stimulation
(Quaresma et al., 2018). The system consists of two
components: virtual scenarios and a glove -
"GNeuroPathy" - monitors electrophysiological data
in real time.
With the aim of providing patients with an
innovative environment for the rehabilitation
process. The "VR4NeuroPain" system allows
patients to have contact with an immersive
environment that aims to (Quaresma, et al., 2018):
● motivate for the rehabilitation process;
● play an active role in the rehabilitation process;
● promote quality of life and well-being;
● control the achievement of fine and global
movement;
● distinguish tactile sensory stimuli;
● stimulate technological literacy.
For that reason, the use of interactive technologies in
a rehabilitation process allows to reduce the time
spent in that process and greater economic
sustainability of the units of the health sector. In
order to guarantee the applicability of the system it
is necessary to carry out the validation of all the
components. Thus, "GNeuroPathy" has already been
applied in people with no associated pathology and
it has been found to be easy to apply and meets the
proposed objectives.
The present work has as main objective to
present the validation process of the glove
"GNeuroPathy" in clinical context.
2 MATERIALS AND METHODS
The study was approved by the Portuguese Ethics
Committee of the Medicine and Rehabilitation
Center of Alcoitão, in Portugal. Each participating
subject was informed about the procedures and the
objectives of the study, prior data collection, and
signed a consent form with this information.
All data was collected, during 1 month, from a
cohort of patients with spinal cord injury attending
the occupational therapy department, at the
Medicine and Rehabilitation Center of Alcoitão. The
inclusion criteria for the present study were that each
patient had incomplete spinal cord injury.
The process of validating "GNeuroPathy", in
clinical context, is divided in three parts:
1. Usability – examines the subject's degree of
satisfaction, when using the glove;
2. Data collection procedure – assesses the
performance of the protocol;
3. Data analysis – prototyping of the analysis
procedure, and the interpretation of its outcomes.
Glove “GNeuroPathy” System.
The "GNeuroPathy" glove (Figure 1) is easy to put
on, allows object manipulations and currently
integrates two types of sensors that collect electro-
dermal activity (EDA) and muscle activity (EMG)
data. To record the EMG and EDA signals, a
Bitalino acquisition module; a pair of EMG sensors
and another pair of EDA sensors were used. To
connect the sensors to the subject, 2 Ag / AgCL with
adhesive electrodes stabilized with solid adhesive
were used for each sensor (TIGA-MED Gold 01-
7500, TIGA-MED GMBH, Germany) (Guerreiro et
al., 2013; Guerreiro et al., 2014).
Figure 1: The glove "GNeuroPathy".
Bitalino, together with the sensors and the
electrodes used are shown in Figure 2. The recording
device collects the biological signals simultaneously,
with a 16-bit resolution and sampling frequencies of
up to 1000 Hz. All data is transmitted, via Bluetooth,
from Bitalino to the computer for processing. In the
latter, the software used was Plux’s proprietary
OpenSignals (Guerreiro et al., 2013; Guerreiro et al.,
2014).
Figure 2: The components of the Bitalino and the EDA
sensors (Guerreiro et al., 2013; Guerreiro et al., 2014).
Glove “GNeuroPathy” Data Collection.
After installing the glove, with all sensors securely