Wearable sensors support non-intrusive, continuous monitoring of signals and parameters representative of human physiological activity. This capability can open new perspectives in the medical field, facilitating personalized treatment based on indivdual responses, as well as providing effective interfaces, for instance, in rehabilitation devices.
A wearable sensor system should operate correctly in uncontrolled and variable environments, with minimal impact on the monitored subject. Designers must have the ability to define realistic operating profiles and assess resulting constraints, considering that performances will depend on the interactions among several physiological and technological factors. Accounting for them in design specifications, as well as in the realization phase, ensures that measurement accuracy can be guaranteed, and trustworthy information is generated.
Topics:
Wearable sensors for healthcare: operating characteristics, features and limitations. Electromagnetic sources in a human body (ECG, EEG, EMG) and how to acquire them. Equivalent electrical models for electrodes, data acquisition electronics, shielding, filtering.
Multisensor Platforms: combined use of auxiliary sensors. Temperature compensation, noise reduction, artefact creation and removal. On-board sensor data reduction and feature extraction. Evaluation of information quality.
Internet of Medical Things, system design. Processors: requirements and limitations, memory size, computing power, real-time operation. Communications: basic tradeoffs between energy requirements, sensor lifetime and data throughput. IoT applications for healthcare: introduction to dedicated communication protocols and network architectures.
A wearable sensor system should operate correctly in uncontrolled and variable environments, with minimal impact on the monitored subject. Designers must have the ability to define realistic operating profiles and assess resulting constraints, considering that performances will depend on the interactions among several physiological and technological factors. Accounting for them in design specifications, as well as in the realization phase, ensures that measurement accuracy can be guaranteed, and trustworthy information is generated.
Topics:
Wearable sensors for healthcare: operating characteristics, features and limitations. Electromagnetic sources in a human body (ECG, EEG, EMG) and how to acquire them. Equivalent electrical models for electrodes, data acquisition electronics, shielding, filtering.
Multisensor Platforms: combined use of auxiliary sensors. Temperature compensation, noise reduction, artefact creation and removal. On-board sensor data reduction and feature extraction. Evaluation of information quality.
Internet of Medical Things, system design. Processors: requirements and limitations, memory size, computing power, real-time operation. Communications: basic tradeoffs between energy requirements, sensor lifetime and data throughput. IoT applications for healthcare: introduction to dedicated communication protocols and network architectures.
- Teacher: Giada Giorgi
- Teacher: Claudio Narduzzi