A Rheovara productBIMA is built around synchronized observation: motion sensors and video recorded on one timeline, with age and study context kept alongside the data for later analysis.
A multimodal research record can preserve both measurable motion and the visual context needed to interpret it.
General movements are spontaneous whole-body movement patterns seen in early infancy. Established assessment approaches rely on trained observers and appropriate behavioral state. BIMA does not automate or replace those assessments; it creates aligned raw data that may support future research.
Each sensor records three-axis acceleration and gyroscope signals. Video frames, sensor samples, session time, device sequence information, placement labels, calibration state, and corrected-age fields are kept together so later analyses can be reproduced and audited.
For infants born preterm, chronological age alone may not reflect the developmental time that has elapsed since the expected due date. BIMA stores gestational age at birth, chronological age, corrected age, and postmenstrual age so researchers can choose the appropriate measure for a protocol.
Published early-detection pathways emphasize combining standardized neurological examination, movement assessment, imaging, medical history, and clinical judgment. Sensor or video models must be validated on independent infants and across sites before they can support clinical decisions.
Future modeling should separate participants rather than random windows between training and test sets, preserve longer movement sequences, quantify missing data and artifacts, report calibration and subgroup performance, and compare against meaningful clinical baselines.