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Wireless Health Monitoring Based on Biomedical System on a Chip WearMeSoC RTD 2013 Q. Huang, F. Schulthess, P. Schönle, S. Fateh, T. Burger Integrated Systems Laboratory – ETH Zürich Abstract – Aging population and increasing medical costs in industrialized nations require the development of novel miniaturized healthcare devices for use in ambulatory environments and outpatient monitoring applications. The prevalence of Machine-to-Machine Communication (M2M) together with the increasing availability of inexpensive handheld computers offer a new way of meeting this demand. WearMeSoC plans to develop a matchbox-sized healthcare device based on a biomedical System on a Chip (SoC) with wireless connectivity. Real-world medical scenarios including post- operative patient monitoring, treatment of sleep disorders, assessment of driving capability and study of altitude-related disorders will be used to demonstrate the effectiveness of the system. SoC-Based Healthcare Device Miniature size is inevitable for developing new approaches for non- intrusive patient monitoring: no more need for bulky devices which limit a patient’s mobility. Low-power operation maximizes recording time. Efficient power management of the SoC is used to adapt RF duty cycle to specific application needs. Multi-purpose sensor and actuator circuitry covering the most common medical tests: ECG, EEG, pulse oximetry. Post-Operative Patient Monitoring Treatment of Sleep Disorders Assessment of Driving Capability Study of Altitude- Related Disorders Prompt relocation of pa- tients from ICU to normal ward lowers healthcare costs. Most important tests are monitored: ECG and pulse oximetry. Integration of system into IT infrastructure of hospital for alerting. Usage of miniature de- vice with SoC to record EEG during sleep non- intrusively, possibly even at home. Off-line signal analysis is conducted in the sleep laboratory. Possibility to automate diagnosis or alerting. Eye and head movement can be captured with skin electrodes. Records where people look when driving. Planned system meets demand for a way to objectively assess dri- ving capability of elderly people. Conduct field studies in order to analyze respi- ratory system in high- altitude areas. Assess workplace safety in some areas. Portable device without wires does not encum- ber subject during usual activities. Functional overview of the planned SoC together with external peripherals. Visualization of matchbox- sized healthcare device. High-sensitivity analog front-end guarantees low-noise recording. Flexible digital signal processing blocks implemented in hardware. Control via state-of-the-art embed- ded processor. Several SoCs are cascadable in order to serve applications that require a higher number of input channels. Memory Management Data Aquisition channels Actuators Test & Debug Power Supply Management Clock Interfaces Digital Signal Processing Bluetooth FM Radio GSM/GPRS Cellular Modem RAM & EEPROM Crystal Battery EEG1 EEG2 ECG1 ECG2 . . . . . . Oximetry1 Oximetry2 . . . WearMeSoC Others

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Page 1: Wireless Health Monitoring Based on Biomedical System on a Chip

Wireless Health Monitoring Basedon Biomedical System on a Chip

WearMeSoC RTD 2013

Q. Huang, F. Schulthess, P. Schönle, S. Fateh, T. BurgerIntegrated Systems Laboratory – ETH Zürich

Abstract – Aging population and increasing medical costs in industrialized nations require the development of novelminiaturized healthcare devices for use in ambulatory environments and outpatient monitoring applications. Theprevalence of Machine-to-Machine Communication (M2M) together with the increasing availability of inexpensive handheldcomputers offer a new way of meeting this demand. WearMeSoC plans to develop a matchbox-sized healthcare devicebased on a biomedical System on a Chip (SoC) with wireless connectivity. Real-world medical scenarios including post-operative patient monitoring, treatment of sleep disorders, assessment of driving capability and study of altitude-relateddisorders will be used to demonstrate the effectiveness of the system.

SoC-Based Healthcare Device

• Miniature size is inevitable for developing new approaches for non-intrusive patient monitoring: no more need for bulky devices whichlimit a patient’s mobility.

• Low-power operation maximizes recording time. Efficient powermanagement of the SoC is used to adapt RF duty cycle to specificapplication needs.

• Multi-purpose sensor and actuator circuitry covering the mostcommon medical tests: ECG, EEG, pulse oximetry.

Post-Operative Patient Monitoring

Treatment of Sleep Disorders

Assessment of Driving Capability

Study of Altitude-Related Disorders

• Prompt relocation of pa-tients from ICU to normalward lowers healthcarecosts.

• Most important tests aremonitored: ECG andpulse oximetry.

• Integration of systeminto IT infrastructure ofhospital for alerting.

• Usage of miniature de-vice with SoC to recordEEG during sleep non-intrusively, possibly evenat home.

• Off-line signal analysis isconducted in the sleeplaboratory.

• Possibility to automatediagnosis or alerting.

• Eye and head movementcan be captured withskin electrodes.

• Records where peoplelook when driving.

• Planned system meetsdemand for a way toobjectively assess dri-ving capability of elderlypeople.

• Conduct field studies inorder to analyze respi-ratory system in high-altitude areas.

• Assess workplace safetyin some areas.

• Portable device withoutwires does not encum-ber subject during usualactivities.

Functional overview of the planned SoC togetherwith external peripherals.

Visualization of matchbox-sized healthcare device.

• High-sensitivity analog front-endguarantees low-noise recording.

• Flexible digital signal processingblocks implemented in hardware.Control via state-of-the-art embed-ded processor.

• Several SoCs are cascadable inorder to serve applications thatrequire a higher number of inputchannels.

Memory Management

Data Aquisitionchannels

Actuators

Test &Debug

Power SupplyManagement Clock

InterfacesDigital Signal

Processing

BluetoothFM

Radio

GSM/GPRSCellularModem

RAM & EEPROM

CrystalBattery

EEG1EEG2

ECG1ECG2

. . .

. . .

Oximetry1Oximetry2

. . .

WearMeSoC

Others