1. EMG activity analysis in performing activity of daily living
By: Ahlam Allan

2. Purpose of this research
Develop an efficient locomotive treatment system
Support individuals with limited upper extremities (“UE”) functions to independently accomplish ADL.
Accumulate and analyze the biological and biomechanical data associated with these activities, with the eventual goal of to implementing the new parameters into a rehabilitative exoskeletal robotic device (“RD”)

3. PARTICIPANTS
A total of 10 subjects: for this poster, only one subject was analyzed.
Low-risk, healthy subjects

4. Materials & Software Used
Delsys Avanti EMG system
EMGworks Analysis
EMG program (EMGworks Acquisition)
Excel
MatLab program

5. Method
Begins with placing EMG sensors on the surface of the skin, directly over the target UE muscles
Biodata will be collected through the EMG program (EMGworks Acquisition)
Biodata will be exported via Excel to a MatLab script to achieve kinematical results
Raw EMG data, RMS, MVC and orientation angle of both the dominant and non dominant hand for the triceps (long head) will be analyzed.

6. Recorded Tasks Arm reach to head level Arm reach to right, head level
Arm reach to left, head level
Arm reach right, move object to left side
Open door
Open Drawer/Close Drawer
Move object at waist level
Pick up phone on table
Drink with cup
Pour from bottle
Brush teeth
Comb hair
Wash face

7. Research Done till now with the EMG Data
A large body of literature exists on EMG data collected from general UE motions, such as elbow flexions and extensions.
Much of the known research has been reduced to a specific medical condition
Typically, only one task is analyzed per study
Example :
Upper Limb Electromyographic Analysis Synchronized with Kinematics in Cervical Spinal Cord Injured Patients during the Activity of Daily Living of Drinking, was completed by Ana de los Reyes-Guzmán.

8. Anticipated Outcome
Data collected is seen as an informational input and feedback that will control and regulate the exoskeleton robot.
EMG tests will be utilized as a regulatory input that will control of the RD.
This research is considered extremely important due to the wide-spread impact it should have upon individuals with limited UE functionality.

9. Results

10. Discussion
One major muscles was analyzed for the elbow flexion and extension movement: the triceps (long heads).
The results confirm several hypotheses we had formed prior to conducting the studies:
Specific muscle behaviors can be analyzed. Table one represents the kinematic analysis between the dominant and non dominant hand in the triceps (long head). The result from each subject is unique, meaning that each subject is inclined to have his/her own range of voltage amplitudes associated with their own natural angle of rotation. This highlights the importance of taking the MVC values. Table 1 merely shows the averages of these ranges.
Kinematic analyses of data obtained by the gyroscope confirmed that patterns of activity of the muscle which shown by the table above. The gyroscope measures the angular velocity, from this value we can obtain the orientation angle These statistics are essential in the analysis of kinematic and space geometry associated with activities.
As demonstrated by table 1, the non dominant arm produces higher MVC and orientation angle values compared to the dominant hand. Thus, analyzing more subjects is necessary in order to observe whether this is an outlier case.
The study further analyzed ADL by breaking the activities down in their general movement components. The analysis shown in this poster on the basic movement, the elbow flexion and extension, demonstrates part of the ADL analysis process. Future analyses of this data include comparing the MVC values across subjects.

11. Sources
[1] American Association of Neurological Surgeons (AANS). (2018). Spasticity. [Online]. Available: Treatments/Spasticity