Low-Complexity Design and Validation of Wireless Motion Sensor Node to Support Physiotherapy
Abstract
:1. Introduction
2. Low Complexity Design of Wireless Motion Sensor Node
- Accuracy. The sensor node needs to be able to measure the human body movement with high precision. With proper calibration, it is possible to achieve a target accuracy of with a sampling frequency of 50 Hz [5].
- User-friendly. The device needs to be easy to use, capable of being operated by anyone, regardless of any medical or technical background. We opted to implement wireless charging to increase user-friendliness in operation and maintenance. The data is also wirelessly transferred to eliminate a mess of cables and thus providing freedom of movement.
- Autonomy. Users want to focus on the application rather than constantly thinking about charging the device. Therefore, an autonomy of at least 5 h and a charge time of less than 1.5 h is necessary.
- Affordable. To provide an appealing multi-purpose product for a wide range of applications, it needs to come at a low cost. That way, we want to reach a wide audience, both professionals as individuals.
2.1. Sensors
2.2. Calibration
2.3. Wireless Connectivity
2.4. Wireless Charging
2.5. Optimization for Low Energy
2.6. Prototype
3. Validation with Easily Accessible Equipment
4. Validation with Real-Life Exercises
5. Opportunities in e-Treatment Applications and Extended Functionalities
5.1. Opportunities in Supporting e-Treatment in Physiotherapy
- The patient can perform the session more or less independently.
- The patient is abroad and wants to continue the treatment with the same physiotherapist. For example, elite athletes who have to travel a lot.
- A patient is not allowed to leave the house. The COVID-19 pandemic proved this to be a realistic scenario.
5.2. Extension to Multiple Sensor Nodes
6. Conclusions and Future Work
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Abbreviations
BLE | Bluetooth Low Energy |
DMP | Digital Motion Processor |
DoF | Degrees of Freedom |
FIFO | First In First Out |
IMU | Inertial Measurement Unit |
IoT | Internet of Things |
LDO | Low-dropout |
MEMS | Microelectromechanical Systems |
NTC | Negative Temperature Coefficient |
RTC | Real Time Counter |
sEMG | Surface Electromyography |
WBAN | Wireless Body Area Networks |
WOM | Wake On Motion |
WPC | Wireless Power Consortium |
WPT | Wireless Power Transfer |
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ZigBee | Z-Wave | Bluetooth 5 | BLE | WiFi | |
---|---|---|---|---|---|
Power consumption (max) | 100 mW | 1 mW | 100 mW | 10 mW | >100 mW |
Range (max) | 100 m | 30 m | 100 m | <100 m | 1000 m |
Data rate (max) | 250 kbps | 100 kbps | 2 Mbps | 1 Mbps | 54 Mbps |
Price | Low | High | Very low | Very low | Average |
Target Angle [°] | Reference [°] | Sensor [°] | Error [°] | |
---|---|---|---|---|
Pitch | 0 | 0.08 | −3.2 | 3.28 |
45 | 44.76 | 42.5 | 2.26 | |
90 | 90.19 | 95.04 | −4.85 | |
180 | 178.45 | 176.6 | 1.85 | |
Roll | 0 | 0.47 | 1.8 | −1.33 |
45 | 48.41 | 44.8 | 3.61 | |
90 | 90.15 | 87 | 3.15 | |
180 | 180.01 | 177.1 | 2.91 | |
Yaw | 45 | 48.03 | 45.1 | 2.93 |
90 | 95.49 | 88.9 | 6.59 | |
180 | 182.18 | 185.2 | −3.02 | |
270 | 274.12 | 270.5 | 3.62 |
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Cappelle, J.; Monteyne, L.; Van Mulders, J.; Goossens, S.; Vergauwen, M.; Van der Perre, L. Low-Complexity Design and Validation of Wireless Motion Sensor Node to Support Physiotherapy. Sensors 2020, 20, 6362. https://doi.org/10.3390/s20216362
Cappelle J, Monteyne L, Van Mulders J, Goossens S, Vergauwen M, Van der Perre L. Low-Complexity Design and Validation of Wireless Motion Sensor Node to Support Physiotherapy. Sensors. 2020; 20(21):6362. https://doi.org/10.3390/s20216362
Chicago/Turabian StyleCappelle, Jona, Laura Monteyne, Jarne Van Mulders, Sarah Goossens, Maarten Vergauwen, and Liesbet Van der Perre. 2020. "Low-Complexity Design and Validation of Wireless Motion Sensor Node to Support Physiotherapy" Sensors 20, no. 21: 6362. https://doi.org/10.3390/s20216362
APA StyleCappelle, J., Monteyne, L., Van Mulders, J., Goossens, S., Vergauwen, M., & Van der Perre, L. (2020). Low-Complexity Design and Validation of Wireless Motion Sensor Node to Support Physiotherapy. Sensors, 20(21), 6362. https://doi.org/10.3390/s20216362