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Dispositivi bio-elettronici:sensori per la salute e il benessere
STMicroelectronicsFestival dell’Innovazione
Bari, 1 Dicembre 2010
Andrea Vitali
Outline
STMicroelectronics company presentation
MEMS sensors
MEMS biomedical systems
Remote monitoring: scientists and patients needs
The wearable unit “BODY GATE WAY”
Other Devices (holters, patches, bracelets)
2
ST hardware and software
5
Electrocardiogram
Bioimpedance
Acceleration
Phonocardiogram
Photoplethysmogram
Temperature/heat flux
Linear components
Linear components
MEMS acc/gyro
MEMS microphone
MEMS accelerometer
CMOS camera
SPAD
Linear components
MicrocontrollersRadio modules
FirmwareProcessing IPs
Heart rate, beat classification,
blood analytes from morphology,
metabolic activity
Heart/breathing rate, fluids,
stress, glucose level
Body position/activity, gait analysis,
fall detection (with barometer)
Heart/breathing rate, blood pressure
(alone or with electrocardiogram)
Heart rate, blood analytes, blood
pressure (with electrocardiogram)
Metabolic activity
STM: silicon and beyond
Micro sensors
Micro Electro Mechanical Systems
(MEMS)
Microelectronics
Systems on a Chip
(SoC)
Low-power fault-tolerant processing/memory
Analog-to-digital input, power output
Wireless
Accelerometers, Gyroscopes
Pressure sensors, Microphones
Micro Electro Mechanical Systems
+ =
ASICMEMS
Stacked dual-die configuration
Dedicated package and calibrationMicron-sized transducer Analog Front End
Transducer: from linear/angular acceleration to diff C charge, micro-machining (THELMA process)Front-end: from diff C charge to output V, high performance with embeddded trimming features
advantages• low-cost smaller package• faster time-to-market
Accelerometer/Gyroscope Transducer
+moving
mass
Fixed
Moving
C1 C2
C1, C2 varying capacitanceAccelerometer for Linear acceleration
Gyroscope for Angular acceleration
Linear acceleration
Linear acceleration
Angular acceleration
Coriolis motion
Imbalanced variation
C1> C1’ C2 < C2’Balanced variation
C1=C1’ C2=C2’
Vibrating masses
moving mass
Vibrating masses
C1 C2
C1’ C2’ C2’C1’
C1 C2
Coriolis motion
Accelerometer Portfolio3x3mm (2x2mm in 2010), dual/tri axis, analog/digital output
selected
selected
Gyroscope Portfolio5x5mm, yaw single/dual axis pitchroll-pitchyaw, analog output
sta
bili
zer
In-plane axis: pitch, rollOut-of-plane: yaw
selected
Long term trend
Remote monitoring context
20
DiseasesRisk factors
Cannot be modified
Aging
Genetics
Can be modified
Bad diet
No/low physical activity
Smoking
Ambient, socio-economic factors
Aging of population
Globalization
Urbanization
Overweight -obesity
Hypertension
Hyperglycemia
Blood anomalies
Common
Diabetes
Cardiac pathologies
Ictus
Tumours
Breathing anomalies
Chronic
The need of…
21
The need of the Scientist
• Heart electric signal (ECG) …holters (1-3-8-12 leads)
• Heart sounds …digital stethoscopes
• Breathing activity …chest bands
• Blood Oxygen (SpO2) …photoplethysmographs (PPG)
• Blood pressure (mmHg) …pressure cuff
• Blood glucose …invasive
• Body temperature
• Body activity/position
• …
The need of…
22
The need of the ScientistThe need of Patients
Need for comfortable wearable devices to enable remote monitoring and care: micro detectors and micro infusion pumps
This future? or this?BodyGateWayConfinement, discomfort…
Rare but significant events are not captured during short visits
Long term monitoring do capture all events
With remote monitoring
25
Healty At risk No symptoms Symptoms
Life Style Control Early
detectionHome
point of care
Symptoms
(today in hospital)
No symptoms
(today not treated)
At risk
(genetics, aging, bad diet, no/low activity, smoking..)
Healthy
Early detection on large scale
Comfortable remote monitor
Life style control (fitness)
Remote monitoring applications
Our target
Other possible targets
Miniaturized, portable, wearable devices
BodyGateWay
Mobile
Components maker (STM)
Device manufacturer (NOKIA)
Service provider (VODAFONE)
:
First prototype 2010
30
• long term monitoring• multi parameter monitoring• automatic classification (intelligence)
• low cost for large scale• comfort for long term use• robustness for every day life• easy to use for common people
Storage
User PC Doctor PCCare provider
BodyGateWay Mobilephone
Internet
scale
cuff
BodyGateWaySystem overview
Main screen
• Body activity
• Heart Rate
• Breathing Rate
• Battery level
ECG screen
Raw ECG signal
Symptoms screen
Patient is prompted
Mobile touch interface
Device block scheme
Accelerometer(Gyroscope)
Electrogram Bioimpedance
Phono
Cardio
Gram
Electro
Cardio
Grammuscles
activity
fusion
Imped.
Cardio
Gram
body
activity
position
Breath
Rate
Fluids
Pressure
Glucose
Examples of fusion:
• Reliable heart rate by combining all cardio grams
• Does heart rate match physical activity?
• Active noise cancellation of motion artifacts
• …
Signals and parameters• ECG: Heart beats, heart rate
• ICG: Breathing rate
• XYZ: Body position, body activity
Device block scheme
Microphone(Accelerometer)
Phono
Cardio
Gram
Red/IR LED
+ PD/CMOS
Photo
Plethysm
Gram
SpO2
CO/CO2
Bilirubin
Pressure
Breaths
Pressure
Temperature
Heat Flux
Meta
bolic
activity
AMBIENT Temp, Press, Sounds, Light, Hygro, Smoke, CO…
Other signals• Blood oxygen (PPG)
• Blood pressure (PCG/PCG/PPG, +ECG)
• Glucose level (ICG/ECG/PPG Raman)
• …
Accelerometer(Gyroscope)
Electrogram Bioimpedance
Phono
Cardio
Gram
Electro
Cardio
Grammuscles
activity
fusion
Imped.
Cardio
Gram
body
activity
position
Breath
Rate
Fluids
Pressure
Glucose
Impact on existing infrastructure
35
Need for changes
• Data storage and processing
• Emergency / support call centers
• Different admission / dismission protocols
• Medical staff / patient training
• …
Critical issues
(crying wolf/bomb penalty)
• Cost of false pos/neg: does it saves lives?
• Cost ($$$): does it save money?
• Time: does it save time?
Can it be used in the real world?
Is it worth using?
Smart ECG processing
good easy signal disconnected electrode
muscle noise
motion artifacts
Premature ventricular contractions
Premature atrial contractiondeep breathing
paced beats Supraventricular tachycardia
SignalsAccelerometerElectrogram
Walking up/down stairsDriving in car Sleeping (2 hrs) Gym session
BreathsHeartbeats Walking Heartbeats (after 1 hr)
ECG
Z0
Heartbeats from ECG and accelerometer.
Breaths from ECG (R peak amplitude modulation) and accelerometer.
Steps can be counted from accelerometer.
After 1 hour ECG signal is affected by high-freq noise.
Low activity when sitting in car and driving.
High activity when walking up/down stairs.
No activity. Body position can clearly be seen.
ECG is good even while exercising in the gym.
Breaths
ECG ECG ECG
ECG ECG ECG
XYZ XYZ
DZ DZ
Litres (spirometer)
XYZ
XYZ
XYZ
Bioimpedance
ECG
Z0
DZ
ECG
DZ
DZ vs spirometer
Breaths/min
WalkingBreathing and holding (zoom on held breath) DZ vs spirometer
XYZ
XYZ
Heart beats
Signals
Red 12bits 100Hz
Infrared 12 bits 100Hz
ECG
Photodiode on finger, reflective mode.
Photodiode on finger, reflective mode.
Optical 8bits 20x20 150fps
Microphon placed on neck
Microphone placed on chest
Microphone placed on chest, coughing
Artifacts caused by slipping mic.
MicrophoneRed/IR led
+ Photodiode
Microphone placed on wrist
Microphone placed on arm
Heartbeats Heartbeats Heartbeats Heartbeats …and coughs …and noise
ECG
CMOS camera (optical mouse), transmissive mode.
Photodiode on wrist, reflective mode.
Photodiode on chest, reflective mode.
ECG ECG ECG
red red red
infrared infrared infrared
Heartbeats Heartbeats
R&D• broad spectrum LED can be compensated
• inexpensive camera gives slipping motion for active noise cancellation
• two infrared LEDs for black skin with melanin