## 3 Materials and Methods  
### Participants and Procedures  
In our proposed approach, we combined accelerometer and sEMG data to discriminate between patients with simulated PD tremors and healthy test subjects. [PERSON] et al. [PERSON] _et al._ (2016) proved that healthy subjects are able to simulate indistinguishable tremors from PD patients in frequency and regularity. Furthermore, [PERSON] et al. [PERSON] _et al._ (2016) investigated the simulated parkinsonian tremors of healthy subjects using sEMG and whole head neuromagnetometer, and showed that healthy subjects did not have any difficulties simulating PD tremors. In our study, we adopt both approaches. In particular, twenty-one normal subjects, summarized in Table 2, participated in accelerometer and EMG movement measurements and voluntary simulated tremors after giving their informed verbal consent. The test subjects had an earlier diagnosis, and they did not have other diseases that may interfere with motor function. The study was approved by AASTMT EC Ethics Committee (Reference number 36/22 February 2016).  
In our study, wearable surface EMG and 3D accelerometers by Shimmer were used to capture the data. Sensors were attached to healthy subjects, where they simulated the symptoms of PD patients like tremor as an example. In our proposed measurement set, the accelerometer sensors were placed on the Palmar sides of each subject's wrists. The sEMG sensors were placed on the forearm muscles, which control the movement of wrists and are proven to be more responsible for tremor action than biceps brachii muscle. Typically, [PERSON]'s disease tremor is characterized by oscillations in wrist extension and flexion, pronation and supination, or finger flexion [PERSON] _et al._ (2016). EMG signals captured for tremor assessment are commonly measured from the forearm [PERSON] _et al._ (2016). The captured signals were measured by using Ag/AgCl disposable electrodes with 3 cm spacing and the neutral electrode was placed on [PERSON] wrist side as shown in Figure 1. This is opposed to the technique used by [PERSON] et al. [PERSON] _et al._ (2016), where the surface EMG sensors were placed on the biceps brachii muscles of the patients. Prior to taking the measurements, test subjects were shown how to mimic the tremor, and the measurement set was explained. Then during measurements, they were asked to walk in the normal way holding their elbows at an angle of 90\({}^{\circ}\) with their palms up in a straight line for about  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Subject ID** & **Age (years)** & **Gender** \\ \hline  
emale \\
19 & 26 & Male \\
20 & 45 & Female \\
21 & 25 & Male \\ \hline \hline \end{tabular}
\end{table}
Table 2: Details of participating subjects.  
10 m, then turn around and come back to the starting point. The main investigated symptom was the tremor. This procedure was repeated while simulating [PERSON]'s disease symptoms. Both signals were sampled at a 1000 Hz rate. The detailed sequence of the proposed methodology is shown in Figure 2.  
Figure 1: _Cont._  
Equipment  
In our measurements, we used wearable sensors by Shimmer. The used sensor platform is made for wireless wearable applications. The basic 3D accelerometer and EMG sensors have large storage and low-power communication standards. These features enable the sensors to be used in many applications like motion capture with continuous data processing, and real-time vital sign monitoring. The used Shimmer sensors consist of 3D accelerometer using free scale MMA7260Q 1.5/2/4/6 g MEMs accelerometer, signal quest SQ-SEN200 passive MEMs omnidirectional tilt and vibration sensor with expansion boards for 3-Lead ECG, EMG kinematics (3D gyroscope). They have high reliability standards based mobility such as Bluetooth radio (Roving Networks RN-42), which facilitates data transfers from sensors at high rates, MicroSD card slot of up to 2 GB of flash memory. Also, Shimmer sensors have small size 53 mm \(\times\) 32 mm \(\times\) 15 mm which does not irritate the patients while wearing.