Modular Reconfigurable Approach Toward Noninvasive Wearable Body Net for Monitoring Sweat and Physiological Signals.

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Sensor Networks

Background:

• Current wearable sensors are often limited to single body parts, hindering integrated physiological monitoring.
• Redesigning devices for new detection capabilities or body locations is inefficient.
• Seamless integration of sensors across multiple body parts is crucial for advanced remote medical care.

Purpose of the Study:

• To develop a modular and reconfigurable circuit assembly method for a versatile wearable body network.
• To enable efficient detection of diverse physiological parameters across multiple body locations.
• To facilitate seamless integration and adaptability of wearable sensors for remote health monitoring.

Main Methods:

• Proposed a modular, reconfigurable circuit assembly using flexible printed circuit board connectors.
• Developed a 'body net' system adaptable for various body locations.
• Integrated sensors for sweat ion indicators, electrocardiogram (ECG), electromyography (EMG), motion, heart rate, blood oxygen saturation, and skin temperature.
• Utilized Bluetooth Low Energy (BLE) for data transmission to a mobile application.

Main Results:

• The reconfigurable sensor system successfully detected a wide range of physiological parameters.
• Comparative evaluations demonstrated viability against established commercial devices.
• Wearable body network detections across multiple body parts showed promising results in volunteer studies.

Conclusions:

• The proposed modular and reconfigurable sensor assembly method offers a flexible solution for wearable health monitoring.
• This adaptable technology has significant potential for regular health monitoring and clinical applications.
• The system facilitates integrated, multi-parameter physiological data collection for remote medical care.