Clevercare SHAD combines movement kinematics and spatial location to provide precise data on the ambulation of hospitalised patients, even in slow, shuffling or assisted gait.
Hospital deployment areas
Clevercare SHAD overcomes the limitation of conventional podometry-based systems, which show low sensitivity in patients with slow, shuffling or assisted gait.
Measures the intensity, regularity and continuity of movement directly on the shoe or technical aid (cane, crutch, walker), reducing dependence on arm swing.
Installed on the hospital ward, they record effective movements between zones — room, corridor, nursing station, rehabilitation room — with configured real distances.
Analyses sensor signal variations to detect activity even without zone change: micro-activity, postural transfers and mobility within the room.
The system integrates three complementary dimensions that provide a complete picture of the patient's functional mobility.
A continuous index integrating magnitude, regularity, acceleration, temporal continuity and displacement context. It does not measure raw mechanical events, but real functional intensity.
Differentiates between detected functional movement (displacement, slow or assisted gait, intra-zone activity) and time at rest, sitting or minimal activity.
Combines real configured distances between antennas (inter-zone) with kinematic estimation of internal activity within each zone, even with gentle or intermittent movements.
Calculated from fixed physical distances between beacons and actual elapsed time, without estimating step length. Accurately reflects gait capacity in the hospital context.
Records routes between zones with a hospital ward map. Shows which areas the patient covers and how frequently throughout their admission.
Evolution of all parameters throughout admission. Objective basis for assessing response to rehabilitation interventions and early detection of functional changes.
Data from a 30-day monitoring period on a 40-bed geriatrics ward. Each patient wears a sensor from admission to discharge.
Unlike conventional step counters, the system calculates speed from fixed physical distances between receivers and the actual recorded time, without estimating step length — which is variable and imprecise in patients with pathological gait.
This parameter integrates motor capacity, postural control, endurance and gait safety, making it a high-value functional indicator in the hospital context.
The mean speed observed in clinical monitoring is consistent with a slow or assisted gait profile, typical in geriatrics, rehabilitation and neurology wards.
The score is a continuous index between 0 and 1 that goes beyond counting steps or measuring displacement. It simultaneously integrates five dimensions of movement:
A high score with low speed does not indicate functional decline. It may reflect that the patient prioritises gait safety over speed — a common and adaptive pattern during recovery. What matters is the trend of each indicator over time, not its absolute value at any single moment.
Shows the day-by-day evolution of two indicators of the patient's functional capacity during admission.
Mean speed (m/s): real walking speed. · Mean score: movement quality index (0–1). Values close to 1 indicate an optimal movement pattern.
The SHAD platform integrates an RTLS (Real-Time Location System) that overlays patient movement data directly onto the hospital floor plan, enabling clinical teams to visualise routes, zones visited and real displacement at a glance.
Conventional step-counting devices are designed for healthy subjects in everyday contexts. In hospitalised patients with slow, shuffling or assisted gait, their limitations are clinically significant. Here is how a hybrid approach addresses each of those gaps.
Designed to integrate into the usual clinical workflow of units with a high prevalence of patients with reduced mobility or in functional recovery.
Records of routes between room, corridor, nursing station and rehabilitation room with real distances and times.
Evolution of mobility throughout admission, response to interventions and early detection of functional decline.
Continuous monitoring of patients with low mobility or risk of decline, facilitating timely preventive clinical intervention.
Quantitative basis for early mobilisation, rehabilitation adjustment and evolutionary assessment, with reproducible, observer-independent data.
For technical information, deployment conditions or to request clinical documentation, puede contactar con nuestro equipo.
For any enquiry about the system, compatibility with your hospital environment or available technical documentation, please write to us at:
info@gaitanalytics.eu