Tissue viability monitoring - a multi-sensor wearable platform approach

Mathur, Neha and Davidson, Alan and Buis, Arjan and Glesk, Ivan; Müllerová, Jarmila and Senderáková, Dagmar and Ladányi, Libor and Scholtz, Ľubomír, eds. (2016) Tissue viability monitoring - a multi-sensor wearable platform approach. In: 20th Slovak-Czech-Polish Optical Conference on Wave and Quantum Aspects of Contemporary Optics. SPIE, SVK. (https://doi.org/10.1117/12.2256707)

[thumbnail of Mathur-etal-WQACO-2016-tissue-viability-monitoring-a-multi-sensor-wearable-platform-approach]
Text. Filename: Mathur_etal_WQACO_2016_tissue_viability_monitoring_a_multi_sensor_wearable_platform_approach.pdf
Accepted Author Manuscript

Download (251kB)| Preview


Wearable systems for prosthetic users have to be designed such that the sensors are minimally obtrusive and reliable enough to faithfully record movement and physiological signals. A mobile sensor platform has been developed for use with lower limb prosthetic users. This system uses an Arduino board that includes sensors for temperature, gait, orientation and pressure measurements. The platform transmits sensor data to a central health authority database server infrastructure through the Bluetooth protocol at a suitable sampling rate. The data-sets recorded using these systems are then processed using machine learning algorithms to extract clinically relevant information from the data. Where a sensor threshold is reached a warning signal can be sent wirelessly together with the relevant data to the patient and appropriate medical personnel. This knowledge is also useful in establishing biomarkers related to a possible deterioration in a patient’s health or for assessing the impact of clinical interventions.