Neural-network compensation methods for capacitive micromachined accelerometers for use in telecare medicine.

Transducers represent a key component of medical instrumentation systems. In this paper, sensors that perform the task of measuring the physical quantity of acceleration are discussed. These sensors are of special significance since, by integrating their output signals, accelerometers can additional...

Полное описание

Библиографические подробности
Опубликовано в::	IEEE Transactions on information technology in biomedicine 5, 3 (2001).
Главный автор:	Gaura, E.I
Формат:	Статья
Язык:	English
Предметы:	Parkinson's disease. Acceleration measurement sensors. Capacitive micromachined accelerometers. Capacitive signal pickoff. Closed-loop design. Digital output. Direct-inverse control strategy. Electrostatic actuation. Feedback. Medical diagnosis procedures. Medical instrumentation systems. Micromachined sensing element. Neural network compensation methods. Neural network transducer designs. Nonlinearly compensated transducers. Open-loop design. Output signal integration. Patient activity pattern monitoring. Position measurement. Self-testing. Smart transducers. System-level requirements. Telecare medicine. Telemetry systems. Tremor-related diseases. Velocity measurement.