Field Programmable Gate Array-Embedded Platform for Dynamic Muscle Fiber Conduction Velocity Monitoring

This paper proposes a novel architecture of a wearable Field Programmable Gate Array (FPGA)-based platform to dynamically monitor Muscle Fiber Conduction Velocity (MFCV). The system uses a set of wireless sensors for the detection of muscular activation: four surface electromyography electrodes (EMG...

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Veröffentlicht in:Sensors (Basel, Switzerland) Jg. 19; H. 20; S. 4594
Hauptverfasser: De Venuto, Daniela, Mezzina, Giovanni
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland MDPI AG 22.10.2019
MDPI
Schlagworte:
Adult
Diabetes
Efficiency
Electric Conductivity
Electric Power Supplies
Electrodes
Electromyography
Electronics
emg
Exercise - physiology
Fatigue
Field programmable gate arrays
fpga
Gait - physiology
Humans
Internet of Things
mfcv
Muscle Fibers, Skeletal - physiology
Propagation
real-time emg detection
Velocity
Young Adult
MFCV
Real-time EMG detection
FPGA
EMG
ISSN:1424-8220, 1424-8220
Online-Zugang:Volltext
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Zusammenfassung:This paper proposes a novel architecture of a wearable Field Programmable Gate Array (FPGA)-based platform to dynamically monitor Muscle Fiber Conduction Velocity (MFCV). The system uses a set of wireless sensors for the detection of muscular activation: four surface electromyography electrodes (EMGs) and two footswitches. The beginning of movement (trigger) is set by sensors (footswitches) detecting the feet position. The MFCV value extraction exploits an iterative algorithm, which compares two 1-bit digitized EMG signals. The EMG electrode positioning is ensured by a dedicated procedure. The architecture is implemented on FPGA board (Altera Cyclone V), which manages an external Bluetooth module for data transmission. The time spent for data elaboration is 63.5 ms ± 0.25 ms, matching real-time requirements. The FPGA-based MFCV estimator has been validated during regular walking and in the fatigue monitoring context. Six healthy subjects contributed to experimental validation. In the gait analysis, the subjects showed MFCV evaluation of about 7.6 m/s ± 0.36 m/s, i.e., <0.1 m/s, a typical value for healthy subjects. Furthermore, in agreement with current research methods in the field, in a fatigue evaluation context, the extracted data showed an MFCV descending trend with the increment of the muscular effort time (Rested: MFCV = 8.51 m/s; Tired: 4.60 m/s).
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ISSN:1424-8220
1424-8220
DOI:10.3390/s19204594