Read condition changes
through respiratory dynamics.
mmBio is a health-sensing solution that uses 60GHz millimeter-wave radar to capture time-series changes in respiration and body movement without contact, estimating daily condition trends from variability, complexity, and recovery.
Contactless bio-signal monitoring millimeter-wave radar module “mmBio”
Not just averages—
measure the ability to recover.
3 SIGNAL AXES
Visualizes condition changes intuitively through three axes: Stability / Variability / Recovery.
Treat respiration not as a count, but as a dynamic pattern
mmBio reads not only respiratory rate, but also respiratory order, variability, and the relationship with body movement to approach day-to-day condition changes.
Define health as adaptive variability
Rather than a perfectly constant state or a continuously disturbed one, mmBio treats a rhythm that fluctuates, stays organized, and returns after disturbance as a healthy dynamic.
Trend analysis based on each person’s baseline
Instead of judging a single day in isolation, mmBio creates explainable condition trends using 7-day and 14-day moving averages and deviations from a personal baseline.
1. Bio-Derived Signals Captured by mmBio
| Directly observed signals | Subtle displacement and velocity of the chest, abdomen, and body surface; phase changes in reflected signals. |
| Respiration component r(t) | Respiratory rate, respiratory amplitude, inspiration/expiration ratio, respiratory cycle, shallow-breathing and apnea-like events, etc. |
| Body-movement component m(t) | Turning over, micro body movements, concentration periods of body movement, quiet intervals, and time for respiration to stabilize after movement. |
| Signal quality q(t) | Evaluates the influence of static clutter, random body movement, respiratory harmonics, multi-person environments, and other factors. |
2. Analysis Indicators for Trend Estimation
| Basic state | Uses respiratory rate, amplitude, cycle, and variability as baseline features. |
| Quality of variability | Breath-to-breath variability, CV, Sample Entropy, Multiscale Entropy, DFA, spectral entropy, etc. |
| Recovery | Evaluates how quickly respiration returns to its normal rhythm after turning over or arousal reactions. |
| Within-person attractor | Designed to measure how far today’s respiratory dynamics deviate from the person’s healthy baseline. |
3. Score Display Concept
| Stability | Indicates whether respiratory rhythm maintains coherence, detecting patterns that are too rigid or too scattered. |
| Variability | Indicates whether structured variability is maintained as a response to environment, metabolism, autonomic nervous activity, and sleep state. |
| Recovery | Indicates whether respiration can return to a stable state shortly after body movement or arousal reactions. |
| Overall comment | For example, “Nighttime micro-movements increased, and respiration took longer to stabilize after movement,” presented in explainable language. |