Forehead EEG Sensor with Wireless Transmission
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Solution Overview
Problem
Current EEG technologies are cumbersome, require significant setup time, and limit patient mobility due to tethered wires and bulky components, necessitating specialized equipment and skilled technicians, which increases discomfort and logistical burdens while being less user-friendly for clinical-grade data acquisition.
Innovation Solution
A low-profile, wearable EEG detection system with a disposable electrode array that adheres to the forehead, wirelessly transmitting data for processing and analysis, capable of integrating additional sensors like accelerometers and oximeters, and utilizing machine learning for automated data interpretation, allowing for rapid application and reduced logistical complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional EEG electrodes are placed on the scalp using standardized arrays, then clinical-grade EEG data can be obtained, but significant setup time and discomfort to the examinee are required
Solution Approach 1:
The EEG electrode array is divided into multiple independent sensor elements that can be individually positioned on the scalp. This segmentation allows for flexible configuration of the electrode array to achieve clinical-grade data quality while reducing the time required for setup by enabling modular placement rather than requiring a complete standardized array to be applied all at once.
Solution Approach 2:
The system includes pre-configured electrode arrays and signal processing algorithms that are prepared in advance. The electrodes are pre-positioned on a support structure and the processing pipeline is pre-established, allowing for rapid deployment and minimizing setup time while maintaining measurement precision through pre-validated configurations.
2Reliability
If electrodes are tethered to a receiving device by physical wires, then signal processing and data collection can be performed, but examinee mobility is limited and delirium risk increases
Solution Approach 1:
The physical wire tethering system is replaced with a wireless transmission system. The electrodes communicate with the receiving device through wireless signals rather than mechanical connections, eliminating the constraints on patient mobility while maintaining reliable signal acquisition through wireless data transmission.
Solution Approach 2:
The system employs flexible, lightweight electrode mounts and wireless communication interfaces that allow the EEG device to move with the patient's head without restricting mobility. The flexible mounting structure enables the electrodes to remain in contact with the scalp while the wireless connection eliminates the need for rigid wire tethers.
3Measurement precision
If specialized equipment and skilled technicians are used for EEG data collection and analysis, then clinical-grade data can be obtained, but logistical burden and expense increase
Solution Approach 1:
The EEG system is designed to be compatible with standard smartphones, tablets, and computers, eliminating the need for specialized dedicated equipment. The same device can serve multiple functions including signal processing, data analysis, and clinical interpretation, reducing logistical burden and expense while maintaining clinical-grade data quality through software-based processing.
Solution Approach 2:
The system uses software algorithms and digital signal processing to replicate the functionality of expensive specialized EEG equipment. By copying the signal processing and analysis capabilities through software rather than requiring dedicated hardware, the system maintains measurement precision while significantly reducing device complexity and logistical requirements.
4Reliability
If standard clinical workflows require medical experts to be on-premise for data interpretation, then accurate clinical decisions can be made, but time and expense for expert interpretation increase
Solution Approach 1:
The system incorporates real-time feedback mechanisms that provide automated preliminary interpretations and alerts to medical experts. This feedback system enables continuous monitoring and immediate detection of abnormalities, allowing experts to review only critical cases and reducing overall interpretation time while maintaining high accuracy through expert validation of automated findings.
Solution Approach 2:
The system includes automated algorithms that perform initial data processing, feature extraction, and preliminary diagnosis without requiring constant expert intervention. This self-service capability handles routine analyses independently, freeing experts to focus on complex cases and reducing both time and expense for expert interpretation while maintaining reliable clinical decisions through automated filtering and prioritization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid, user-friendly acquisition of clinical-grade EEG data with reduced setup time, improved patient comfort, and enhanced mobility, while minimizing logistical burdens and the need for specialized equipment, facilitating real-time analysis and interpretation.
Implementation Method 1
Electroencephalography (EEG) is a method of capturing the electrical activity generated by the nervous system via sensing devices (electrodes or other technologies) that are placed on the scalp
Implementation Method 2
capable of simultaneously collecting additional data, including but not limited to accelerometer data, heart rate, temperature and/or pulse oximetry
Implementation Method 3
capable of simultaneously collecting additional data, including but not limited to accelerometer data, heart rate, temperature and/or pulse oximetry
Data Source
AI summary
The present disclosure relates to a system and method capable of capturing, processing and analyzing electroencephalography (EEG) signals, including features, patterns or signatures with relevance to diagnosis, prognosis, risk stratification or other clinically relevant interpretation, by means of a low-profile head-mounted wireless recording device that may be rapidly applied to the individual being examined. The head-mounted recording device is comprised of an array of electrode elements that contact the subject's forehead, a docking site and an acquisition device that receives, processes, and transmits the EEG data. In one embodiment, the device simultaneously collects additional data, including but not limited to accelerometer data, heart rate, sound level, light level, temperature and/or pulse oximetry. Subsequently, the data is ingested into an analytics system which is capable of identifying features, signatures or patterns that have significance for diagnosis, prognosis, risk-stratification or other medically pertinent observations, estimates or predictions.