Measurement architectures, validated outputs and deployment considerations for clinical movement analysis.
Compare systems by measurement construct and intended workflow rather than by a single accuracy claim. The profiles distinguish acquisition modality, analytical scope and the evidence needed to transfer an output into a clinical protocol. Relevance ratings prioritise this library’s coverage; they do not rank device performance.
Smartphone-derived spatiotemporal gait measurement. Phone motion sensing supports repeated acquisition within remote rehabilitation workflows. Published work addresses comparison with motion capture, postoperative feasibility and associations with self-reported lower-limb function. Its contribution is the translation of gait measurement into an accessible collection modality.
Evaluation focus. Review agreement for each intended endpoint, phone configuration and walking condition. Separate analytical performance from responsiveness and the effectiveness of the care pathway using the data; request evidence covering the planned patient spectrum and handling of incomplete recordings.
Mobility Lab / Opal inertial measurement. Body-worn sensors support instrumented assessment of gait, turning and postural sway. The measurement architecture is suited to decomposing a standardised mobility task into parameter-specific outputs rather than relying solely on completion time.
Evaluation focus. APDM’s validation documentation distinguishes comparisons against optical systems, instrumented walkways and force plates. Match the reference to the construct: agreement for a temporal gait measure does not establish validity of a sway or turning endpoint. Retain sensor configuration and software version in the protocol.
GAITRite pressure-sensitive walkway. Spatially resolved foot-contact recordings provide temporospatial parameters during observed walking. This makes the system useful for protocolised comparison and as a reference in selected wearable-validation designs.
Evaluation focus. Examine active measurement length, acceleration and deceleration, repeat passes, assistive-device contacts and footfall-processing rules. Its reference role is specific to the measured construct; a walkway does not provide a complete reference for full-body kinematics, joint loading or unsupervised mobility.
NUSHU sensor-equipped footwear. Instrumented shoes combine gait acquisition with vibrotactile feedback. The company’s research activity includes gait-event identification and Parkinsonian gait applications, including freezing-related measurement.
Evaluation focus. Separate event-detection validity from the therapeutic effect of feedback. For freezing-related claims, review event definitions, synchronised reference annotation, sensitivity to short episodes and performance during turning, initiation and non-freezing movement. Device adherence and footwear suitability are part of clinical feasibility.
Foot-worn inertial gait analysis. Physilog sensors and analysis tools support protocol-based estimation of spatiotemporal outcomes. Foot placement provides a different acquisition model from a trouser-pocket phone or lumbar sensor.
Evaluation focus. Identify the exact hardware and algorithm generation covered by optical-reference comparisons. Appraise event timing and spatial estimates separately, including performance at slow speeds and with pathological foot motion. Calibration, attachment and bout selection belong in the reported method.
Full-body inertial motion capture. Segment orientation estimates and biomechanical modelling support kinematic analysis and gait reporting. This addresses intersegmental movement and joint-angle questions beyond the usual scope of a single-sensor mobility endpoint.
Evaluation focus. Review anatomical calibration, model conventions, heading behaviour and the reference used for each plane and joint. A technically repeatable waveform is not sufficient evidence that a between-session change is physiological; setup and processing must be controlled.
Trigno surface electromyography. Wireless EMG complements kinematics through muscle-activation timing and coordination during locomotion, orthotic use and neurological assessment. The signal addresses neuromuscular activation rather than directly measuring joint force.
Evaluation focus. Specify electrode placement, skin preparation, synchronisation, filtering and amplitude normalisation. Distinguish onset timing from amplitude-based inference and account for movement artefact and cross-talk before relating activation patterns to mechanics.
Stars indicate editorial relevance to clinicians and researchers using this library: 5 = foundational or broadly applicable; 4 = directly useful for a defined question; 3 = specialist or emerging application; 2 = indirect relevance; 1 = background context. They are not journal impact factors, evidence-certainty grades, product comparisons or estimates of clinical benefit. Lists place higher-relevance entries first; chronological steps and test protocols retain their required sequence. Topic labels use the same colors throughout the library, with text identifying every subject.
