Philips Biosensing is a robust and proven software library that delivers advanced, accurate metrics for fitness, wellbeing, and health applications. It draws on Philips know-how in healthcare. Together with our concise health care knowledge and a strong background in digital signal processing research and development, Biosensing library incorporates advanced signal processing algorithms that account for the wearer’s motion to deliver robust and accurate vital signs measurement.
Many factors can affect the accuracy of the reading including ambient light, skin condition and especially movement. To be able to offer more advanced metrics a much more robust and proven vital signs measurement is required. Examples are emerging health and wellness applications, where accurate measurement is required for product certification.
First introduced to the market in 2013, Biosensing library initially only supported heart rate measurement. This has been continuously expanded, and today, the software library now includes 14 different metrics, with more under development, making Philips the leading provider of Cardio and Motion Measurement solutions.
The complete list of metrics included in the library are:
✓ Heart Rate – highly accurate basic measurement needed for other metrics
✓ Heartbeat Timestamp – indicates the position of the pulse of the individual heartbeats enabling heart rate variability (HRV) analysis.
✓ Respiration Rate – a key metric for managing stress and chronic illnesses such as sleep apnea
✓ Blood Oxygen Saturation (SpO2): indicates in percentage the amount of oxygen-carrying hemoglobin in the blood
✓ Resting Heart Rate – fitness measure for non-sport related activity tracking
✓ VO2 max (peak oxygen uptake) – measures the ability of the body to sustain metabolic needs during physical exertion
✓ Cardio Fitness Index – an easy to understand fitness level metric for amateur athletes
✓ Activity Count – amount of motion in a one-second interval
✓ Activity Type – automatic detection of activity: walking, running, cycling, etc.
✓ Motion Cadence – number of strides per minute for walking, number of revolutions for cycling
✓ Motion Speed – estimate of speed when walking or running e.g. when GPS tracking is not available
✓ Energy Expenditure – amount of calorie consumed by physical activity
✓ Skin Proximity
✓ Sleep Session – creates a hypnogram of sleep stages similar to clinical polysomnography
For more information, contact Philips at philips.com.