11.1 Wearable and Smart Medical Devices Day: HW and SW design constraints in medical devices

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Date: Thursday 30 March 2017
Time: 14:00 - 15:30
Location / Room: 5BC

Organisers:
José L. Ayala, Universidad Complutense de Madrid, ES
Chris Van Hoof, IMEC, BE

Chair:
Maurizio Rossi, University of Trento, IT

Co-Chair:
José L. Ayala, Universidad Complutense de Madrid, ES

This session will present the current efforts on making optimal electronic designs for biomedical devices. Therefore, the issues of low power consumption, reconfigurability and design challenges will be analysed in a broad range of medical applications.

TimeLabelPresentation Title
Authors
14:0011.1.1RECONFIGURABLE EMBEDDED SYSTEMS APPLICATIONS FOR VERSATILE BIOMEDICAL MEASUREMENTS
Speaker:
Luca Cerina, Politecnico di Milano, IT
Authors:
Luca Cerina1 and Marco D. Santambrogio2
1politecnico di milano, IT; 2Politecnico di Milano, IT
Abstract
Nowadays, the majority of the monitoring devices used in clinical settings is limited to specific applications and powered by highly specialized microcontrollers and pre- programmed DSP systems. Moreover, these kind of devices are usually connected to a high capacity battery to operate in case of power blackout. Nevertheless, considering that all the measured bio-signals depends from an amperometric or potentiometric transducer, it should be viable to integrate them on a single device with multiple probes, reprogrammable sensor-fusion capabilities and on-board signal processing. Within this context, in this paper, we present a design concept for such a device. Exploiting FPGA reconfigurability, various analog front-ends can be connected to the device and configured to return the measured signal or the output of the desired signal processing to the user. Multiple case studies with different sensors and end-user applications are described. The high degree of parallelism and the reduced frequency of the embedded FPGA coprocessor make it suitable for all the applications that are subject to medium/low power and cost constraints such as portable Point-of-Care devices or emergency medical centers.

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14:3011.1.2ULTRA LOW POWER MICROELECTRONICS FOR WEARABLE AND MEDICAL DEVICES
Speaker:
Pierre-François Rüedi, CSEM, CH
Authors:
Pierre-François Rüedi, André Bischof, Marcin Kamil Augustyniak, Pascal Persechini, Jean-Luc Nagel, Marc Pons, Stephane Emery and Olivier Chételat, CSEM S.A., CH
Abstract
The requirements for wearables and portable medical devices present a number of challenges in terms of integration, autonomy and connectivity, and demand a careful co-design of hardware and software to reach optimum performance. This paper addresses these challenges by way of some recent examples of ASICs designed for ECG, EIT (Electrical Impedance Tomography) and PPG (Photoplethysmography) sensors as well as for non-invasive blood pressure monitoring.

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15:0011.1.3DESIGN CHALLENGES FOR WEARABLE EMG APPLICATIONS
Speaker:
Elisabetta Farella, Fondazione Bruno Kessler - ICT Center, IT
Authors:
Bojan Milosevic1, Simone Benatti2 and Elisabetta Farella1
1Fondazione Bruno Kessler (FBK), IT; 2Università di Bologna, IT
Abstract
Wearable technologies are changing the way we deal with health and fitness in our daily life. Nevertheless, while MEMS-enabled inertial sensors have conquered the consumer market, physiological monitoring has still to face barriers due to the complexity and costs of physical interfaces (e.g. electrodes), the degree of intuitiveness of the interaction and the processing required to reach satisfying performance. These limitations are mitigated by the embedded systems' growing integration of interfacing capabilities and efficient computing power. In this paper, we describe the main applications and the related technologies for the acquisition and processing of myoelectric (EMG) signals. Starting from well established active sensors and bench-top setups, we introduce a recent design based on the combination of an integrated Analog Front End (AFE) and embedded processing. This solution provides high quality signal acquisition and on-board digital processing capabilities with a contained power consumption. The system was tested within the prosthesis control application scenario, one of the most stringent EMG applications, achieving a 90% gesture recognition accuracy with real time on-board processing at a power consumption of 30mW. Such promising results highlight the current trend in shifting EMG applications from dedicated analog solutions towards integrated digital devices, favouring the development of advanced, modular and low-power wearable solutions.

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15:30End of session
Coffee Break in Exhibition Area

On all conference days (Tuesday to Thursday), coffee and tea will be served during the coffee breaks at the below-mentioned times in the exhibition area.

Tuesday, March 28, 2017

  • Coffee Break 10:30 - 11:30
  • Coffee Break 16:00 - 17:00

Wednesday, March 29, 2017

  • Coffee Break 10:00 - 11:00
  • Coffee Break 16:00 - 17:00

Thursday, March 30, 2017

  • Coffee Break 10:00 - 11:00
  • Coffee Break 15:30 - 16:00