BCG-WIFI/USB SENSOR SERIE
Contactless vital sign measurement
THE SCA11H SUCCESSOR
Improved features in this version:
Auto calibration
Multicolor LED to assist under installation
Easy setup with a standard browser
Standard communication over Wi-Fi
Alternative communication over USB
Second alternative over 4G/Narrow band
Faster response for bed occupancy
The challenge:
Affordable, easy to use and contactless monitoring of vital signs for various purposes, ranging from sleep analysis to patient monitoring in elderly care homes.
Customer challenges:
Vital signs convey a plethora of information from a person's wellbeing. Long-term monitoring is often hindered due to uncomfortable and cumbersome measurements. In elderly care, fall prevention is theprimary concern. While multiple solutions exist, simultaneous monitoring of vital signs such as heart rate, respiration rate and activity can be used to provide insight intothe person's wellbeing, while providing fall prevention alarms for nurses.Polysomnographic studies are the golden standard method for sleep analysis. However, in recent years, sleep analysis has been brought into consumer markets through various activity trackers and similar. These, however, do not produce detailed enough vitals data for PSG-like sleep analysis.
The product:
xxBCG-X1 Accelerometer-based ballistocardiographic (BCG) sensors
How it works:
The sensor is attached to a bed.
The blood flow from a person's heart causes a small movement of the whole body, called the ballistocardiographic signal.
When the bed is occupied, this BCG signal is transferred to the bed
Murata accelerometer captures these vibrations, and our proprietary algorithm converts this accele
Product features:
Reports once per second:
-Heart rate (bpm)
-Heart rate variability (ms)
-Respiration rate (1/min)
-Stroke volume (A.U.)
-Activity indication
-Accurate beat-to-beat times of previousdetected beats
-Bed occupancy statusWiFi connectivity with cloud interface support
Support software& simple interfacing for ease of integration
Sleep analysis algorithm developed for use with BCGMCU/SCA11H data
Target Applications:
Hospitals, elderly care, assisted living
Heart Beat to Beat time detection
Respiration rate detection
Bed occupancy monitoring
Sleep quality measurement
Stress and relaxation analysis
Example applications:
Fall prevention & bed occupancy detection
Long term screening for physiological conditions
Sleep analysis
Physical recovery