Watch-type patient monitor EmoConnect PPG&Motion

heart rateheart rate variabilityfor research

Overview
Smart Noise Filtering, raw data and an SDK provide a research-oriented environment for biosignal acquisition. The device captures PPG (photoplethysmography) together with IMU (inertial measurement unit) to record physiological signals alongside motion and reduce motion-induced artifacts.

Measured signals

• PPG (photoplethysmography)
• IMU (inertial measurement unit)

Key capabilities

• Lossless 50 Hz sampling rate for continuous recording
• Smart Noise Filtering to minimize motion-related artifacts
• Raw data output for custom signal processing
• Derived biomarkers including HR and HRV metrics in time and frequency domains
• SDK support for Android, iOS, Windows and Linux

Research fit and use cases

• Field and daily-life studies — measurements during movement and outside-lab conditions
• Service validation — connecting wearable signals to apps or digital health services
• Analysis workflows combining raw signals and derived HR/HRV metrics for algorithm development or validation

Data products

• Raw data: unprocessed signals for custom filtering and algorithm development
• Biomarkers: HR and HRV metrics extracted in time and frequency domains
• SDK: integration environments and example code for Android, iOS, Windows and Linux

Recommended measurement durations (reference)

• Quick check: at least 40 seconds
• Full analysis: about 310 seconds or longer recommended
• Precise analysis: about 10 minutes or longer

Basic conditions for measurement quality

• Wear the sensor in firm contact with the skin
• Minimize excessive movement during recording
• Maintain a stable posture when possible

Notes on sample data
Synthetic demonstration sample data shown on the site illustrates filtering effects; synthetic demo data do not represent measured test results.

Technical specifications

• Signals: PPG (photoplethysmography), IMU (inertial measurement unit)
• Sampling rate: 50 Hz, lossless
• HR accuracy: 98% (test report no. GT2025-04292)
• Form factor: wrist-band wearable
• Data output: raw data, biomarkers
• SDK support: Android / iOS / Windows / Linux