![]() ![]() Wearable motion & sound sensingĪs a wearable platform, BlueSense is a tiny device which can be used to capture body movement and orientation with a 9DoF motion sensor. It’s primary purpose is to be a motion and sound sensing platform for wearable sensing and computing applications.īesides this, the platform can be used in IoT applications or for sensor research. The platform is 30x30mm in size - smaller than an Apple Watch - making it suitable for a wide range of wearable sensing applications, or integration in objects or furniture for ubiquitous computing applications.īlueSense4 is designed to be functional out-of-the-box yet extensible. Data can be streamed over USB or Bluetooth, or stored on the local SD card. Multimodal sensing firmware, allowing to simultaneously acquire motion data, sound and external ADC inputs, without any programming.External EEPROM with one-time programmable area to store configuration data or unique device ID.12-bit DAC output on the expansion connector with firmware built-in signal generation capabilities.Two digital microphone inputs on the expansion connector, therefore allowing to have up to 4 independent audio sources or to design an array of 4 microphones.The microphones are spaced to enable broadside and endfire microphone arrays tuned for an 8KHz frequency response (to be implemented in software). Two digital microphones for ambient sound sensing with nominal frequency up to 16KHz.The platform provides raw IMU data as well as device orientation in quaternion (inferred in software). Improved 9DoF intertial mesurement unit (ICM-20948) with lower power consumption.The microcontroller includes a floating point unit (FPU), which makes the platform suitable for e.g.ARM Cortex M4 microcontroller (STM32L496), running at 20MHz but capable of up to 80MHz.NoveltyīlueSense4 is an evolution of BlueSense with these key advances: In the sense of process analytical technology (PAT), this important information is needed for bioprocesses to realize a knowledge base process control.BlueSense4 is an ARM Cortex M4-based extensible platform for wearable motion and sound sensing, sensor research and IoT applications. This sensor contributes to a higher process understanding by offering an online view on to the cell behavior. Information about limitation of the primary and secondary substrate is derived by the monitoring of the metabolic cell activity of bacteria and yeast cultivation processes. The OUR and qOUR online measurement of an animal cell batch cultivation is demonstrated, with maximum values of OUR = 2.5 mmol L.sup.-1 h.sup.-1 and a qOUR = 9.5 pmol cell.sup.-1 day.sup.-1. ![]() With the ISICOM, measurement of online and in situ measurement of the OUR is possible. ![]() The design of the ISICOM is focused on functionality, sterility, long-term stability, and response time behavior so the sensor can be used in bioprocesses. ![]() Together with the scattered light signal, the cell concentration is estimated and the qOUR is available online. This measuring principle, known as the dynamic method, determines the oxygen uptake rate (OUR). The decreasing oxygen concentration is recorded by the pO.sub.2 optode. Within a defined measuring interval, the chamber closes, and the oxygen supply for the cells is interrupted. Inside the measuring chamber, the pO.sub.2 and the scattered light is measured. The measuring principle of the ISICOM is based on a volume element enclosed into a small measuring chamber. This variable allows a qualitative judgement of metabolic cell activity. The ISICOM is an in situ combi-sensor that is measuring the cell-specific oxygen uptake rate (qOUR) online. These process variables are important, but they do not give any information about the metabolic activity of the cell. Abstract : In a biotechnological process, standard monitored process variables are pH, partial oxygen pressure (pO.sub.2), and temperature. ![]()
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