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y-shirt

i-shirt ot i-T-shirt

This is my project with Ahlam Boughazi for Nice-Sophia-Antipolis University. Video available from https://youtu.be/TVujWudcW5w

#Introduction.

The postural deviation is an important sign of musculoskeletal system balance problems, fatigue or discomfort during sitting. To prevent the effect of frequent deviation of posture, a smart garment with integrated accelerometers and gyroscopes, which can detect postural changes regarding sagittal and coronal planes of curvature variation of the spine, has been developed with an intention to facilitate posture training in [1]. The smart garment was tested in laboratory tests and with five healthy subjects during their daily activities and confirmed that the accuracy of the system is < 1° in static and < 1.5° in dynamic tilting measurements. The results presented in [1] show that the intelligent wearable device facilitates subjects to prevent prolonged abnormal postures of the spine, particularly the posture of the lumbar spine in which at least 40% of the time in a normal posture was reduced.

This fast exploration shows that an accelerometer, that senses the static acceleration of gravity for tilt-sensing applications is sufficient and is accepted for the medical application.

#Materials and methods:

In our work, we are interested in a prototype of t-shirt instrumented by several MEMS sensor for spinal curvature detection ( proposed t-shirt can be used in the context of elderly care as fall detector, postural transition, walking analysis or daily activities logger). We use the Arduino-compatible Wearable electronic platform FLORA [2] and two accelerometers.

#Results

#Conclusion

#References (APA)

[1] Wong, W. Y. and Wong, M. S. (2008). Smart garment for trunk posture monitoring: A preliminary study. Scoliosis, 3(1):7. http://10.1186/1748-7161-3-7

[2] https://www.adafruit.com/product/659, https://github.com/adafruit/Adafruit-Flora-Mainboard.git

Appendix A.

An important question to solve before starting the second part of the project:

  1. What is the autonomy of proposed device?
  2. Where to put the BLE on the human upper body?
  3. How many accelerometers needed to define skoleosis/kyphosys/fall/ et ect.?
  4. The efficiency of cardio-sensor in daily-living activities.
  5. How many measures do we need to be energy optimal and still efficient?
  6. How to wash instrumented t-shirt?
  7. Stress - fatigue indirect/direct measures.

Appendix B.

We need to use the components that increase the price and to miniaturize the setup: IMU

http://fr.rs-online.com/web/p/accelerometres/8837942/

Flexible

https://www.pcbcart.com/pcb-fab/flexible-pcb.html

Others: Shaw, M., Adam, C. J., Izatt, M. T., Licina, P., & Askin, G. N. (2012). Use of the iPhone for Cobb angle measurement in scoliosis. European Spine Journal, 21(6), 1062–1068. http://doi.org/10.1007/s00586-011-2059-0

http://www.chiro.org/ACAPress/Body_Alignment.html