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System for detecting biochemical parameters useful for predicting self-harm behaviors

System composed of an array of vital parameters sensors, biochemical precursors and Synthetic Intelligence Hardware section

Vital parameters control screen

Vital parameters control screen

sensorized smart watch

sensorized smart watch

Application sectors

AerospaceChemistryEnergySmart factory - capital goods for industry and servicesMaterialsCultural heritageLife sciences and health applicationsTechnologies for the environment and circular economyTransportation - Land and marine mobility vehicles and systems

Problem to solve

The monitoring of vital parameters and their precursors and the prevention of dangerous gestures, for subjects suffering from pathologies at risk (e.g. autism) or subjects carrying out particularly stressful work activities, would have the consequence of a better quality of life and significant savings for the NHS.

Description

The system uses two different types of sensors (vital parameters, biochemical precursors) and Synthetic Intelligence hardware cards. The addition of biochemical precursors in the events acquired by the sensor network allows the monitoring of the subject's state in its entirety differently from what has been done up to now. The addition of a Synthetic Intelligence section allows you to predict the subject's state in the future and therefore prevent accidents or damage to health.

Innovative aspects and advantages

  • moderate cost: the system mainly uses hardware components, it does not require high-performance data processing stations
  • performance improvement: introduction of the function for predicting the future trend of vital parameters, with the potential to overcome the limits present in other equivalent devices

Technological Maturity 5-6

TRL

Strengths

  • Cost
  • Social/economic relevance
  • Legal/regulatory content

Admissible applications

  • monitoring vital parameters
  • prevention of self-harmful gestures to the person
  • stress control

Research group involved

Battaglia Marco SSPT-TIMAS-MADD ;Filippini Alessandra SSPT-TIMAS-MADD ;Pancotti Emanuela SSPT-TIMAS-MADD ;Puccia Loredana SSPT-TIMAS-MADD ;Zampetti Consuelo SSPT-TIMAS-MADD

Patent Available for Licensing

Non disponibile per una licenza

Revision date

27-06-2025

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