Existing wireless electromyography (EMG) solutions utilize proprietary hard- and software components for transmitting and analyzing sensor data. In this paper, we present a setup for transmission and visualization of EMG data on a tablet PC. The system relies on standard hard- and software components and offers both real-time visualization and analysis of myoelectric signals (MES). In this contribution, two hardware setups are presented, a system with a medical-grade EMG amplifier and an alternative system based on a low-cost EMG Arduino shield. Next to the basic RMS feature, the presented iPad application also offers several other common EMG feature calculation methods, like zero crossings (ZC) or the Willison amplitude (WAMP). Direct actuation of a prosthesis through the received EMG signal is possible through the integration of a modern Bluetooth-enabled prosthesis. For medical staff and orthopedic mechanics, this allows easy adjustment of sensor position and measurement of key parameters.
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Existing wireless electromyography (EMG) solutions utilize proprietary hard- and software components for transmitting and analyzing sensor data. In this paper, we present a setup for transmission and visualization of EMG data on a tablet PC. The system relies on standard hard- and software components and offers both real-time visualization and analysis of myoelectric signals (MES). In this contribution, two hardware setups are presented, a system with a medical-grade EMG amplifier and an alterna...
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