- Wireless EEG and PPG measurement device - Real-time EEG and PPG monitoring through software - Short-duration measurement and analysis - Class II medical device
Manufactured by
South Korea
Slowave is a digital neurohealth company dedicated to supporting clinicians’ decision support through patch-based wearable electroencephalography (EEG) sensor technology and advanced signal analysis algorithms. The company has developed a lightweight, wireless wearable EEG device and proprietary precision signal processing technology and continues to conduct research and development to generate quantitative brain signal data applicable to various neuropsychiatric conditions, including sleep disorders, delirium, and ADHD. Slowave is advancing clinically applicable diagnostic support systems by enhancing its brain signal analytics capabilities. In the future, the company plans to integrate neuromodulation technologies to connect analysis and therapeutic intervention, expanding into a precision neuro-medicine system. Through these efforts, Slowave aims to grow into a global neurotechnology company leading data-driven management solutions for neurological and neuropsychiatric conditions.
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BrainU Co., Ltd.
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BrainU Co., Ltd. · South Korea
A compact, wireless EEG measurement device designed for portability and ease of use in clinical and home monitoring environments. The device utilizes low-power consumption technology while maintaining high-reliability signal acquisition.
Fraunhofer IIS · Germany
Modular wireless sensor platform for synchronized multimodal physiological data collection in clinical research and personalized healthcare applications. Integrates wearable sensors including ECG textiles, smart patches, and headbands with 30 µs synchronization accuracy. Enables rapid prototyping and real-world deployment for AI algorithm training and biomedical research.
UNOVINS · South Korea
BrainBody is a clinical decision-support device that integrates EEG (2-channel frontal brainwave) and PPG biosignals to assess mental and physical conditions. It quantitatively analyzes indicators related to autonomic nervous system status, stress, fatigue, concentration, and cognitive function, enabling clinicians to objectively evaluate the patient’s current condition using data-based results. With a simple measurement taking approximately one minute, BrainBody enables rapid screening in outpatient settings. The test results are automatically generated in a structured analysis report, which can be used as clinical reference material and for patient consultation. BrainBody aims to support the establishment of prevention- and management-oriented digital healthcare workflows across various medical environments, including psychiatry, internal medicine, integrative medicine, and health screening centers.
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