Power and data
Transcription
Power and data
Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation Mohamad Sawan, Fellow, IEEE Chaire de recherche de recherche du Canada sur les dispositifs médicaux intelligents Laboratoire de neurotechnologies Polystim Département de génie électrique ÉCOLE POLYTECHNIQUE M O N T R É A L FETCH’2007 Villard de lans, France 10 janvier 2007 Main technological breakthrough -- FES based SMDs - 1947, 1952, 1960, 1961, 1980, 1984, transistor allows designs suitable for implants; 1st external pacemaker : size of a table radio; totally implanted pacemaker (Buffalo); peroneal nerve stimulator for foot drop; first chip was used to design small pacemakers; FDA approved the first cochlear implant. Pacemaker: More than 500,000 pacemakers annually; Defibrillator: Around 50,000 implants annually; Cochlear implant: > 100,000 people worldwide; FES: Recuperate hands & legs movements of patients; Deep Brain Stimulation for Parkinson, scleroses, etc; Vagus nerve in the neck to treat depression & epilepsy. Page 2 Research Program of Polystim Lab. -- Mixed-signal circuits, RF, HVMOS, MEMS: Design, test and assembly -- Wireless intracortical microsystems Monitoring and recording of neural activities Microstimulation in the visual region Bladder dysfunctions Dual stimulation and volume & pressure measurement Respiration Diagnostic catheters Apnea: monitoring and stimulation Sensors and sensing networks Artificial leg movement by recording & processing ENGs Non-invasive measurements (ultrasonic & optical devices) Laboratory-on-chip for advanced diagnostic tools. Page 3 «Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation» OUTLINE Introduction Wireless link (Power and data) Intracortical stimulation & monitoring (Vision) Intracortical recording (multichannel data acquisition) Peripheral nerves connected devices (micturation and apnea control) Laboratory-on-chip Collaborations, Summary for particle detection and infrastructure Research Program (continued) -- Smart medical devices -Sensitive Nerve (afferent) Sensitive Tissues Brain Spinal cord Electronic device Controller Muscle Motor (efferent) Page 5 Sensors Smart medical devices -- Typical topology -- External controller Receiver Test stimuli Stimuli generator Modulator AC/DC Supply Demodulator Main Controller Power Back telemetry Data processing Skin Page 6 Measure & digitize Current sources MUX DeMUX Electrodes «Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation» OUTLINE Introduction Wireless link (Power and data) Intracortical stimulation & monitoring (Vision) Intracortical recording (multichannel data acquisition) Peripheral nerves connected devices (micturation and apnea control) Laboratory-on-chip Collaborations, Summary for particle detection and infrastructure Wireless inductive link -- Power transfer efficiency -Inductive link Rectifier Vrec R2 C1 M Vs * R1 ~ L1 * L2 C3 C2 1 η total η Page 8 2 = total R1C1 Pload + 1 2 Voltage regulator Linear regulator k 2V 2 C 2 DC k 2C 2 (V rec + 2V diode ) V = ηrflink η rectifier η regulator ~ DC 12 % VDC LOAD Wireless dedicated links -- External and internal interfaces -Rectifier - Inductive link - Resonance - Data processing. Off chip inductor - Power amplifier calibration External coil - Power supply Shunt regulator Load Shift Key (LSK) ASK/PSK Demodulator Start-up Page 9 Switched Capacitor DC/DC Encoder ADC LDO Reg 1 VDD1 LDO Reg 2 VDD2 LDO Reg n VDDn M U X Analog FrontEnds (1..n) Controller/ Stimulator Protection Clock Generator Tissues contacts Control unit RF LINK to Transfer Data -- BPSK demodulation -Gilbert multiplier Arm LP Filter I branch m(t) cos(θ1−θ2) 2 sin(ω1t+θ2) Data In m(t) sin(ω1t+θ1) m(t) = 1 or –1 VCO Low Pass Filter Gilbert Phase Shifter 90 m(t) sin 2(θ1−θ2) multiplier 2 2 cos (ω1t+θ2) Arm LP Filter Gilbert multiplier m(t) sin(θ1−θ2) Q branch • Hard-limited Costas loop circuit • Coherent : recover carrier / data in the same loop Page 10 Data Out RF LINK to Transfer Data -- BPSK demodulation implementation -I branch Arm Filter Dout Data in Clk Quadrature signal generator Receiver coil VCO Loop Filter Chopper multiplier Arm Filter Q branch Digital domain Analog domain Requirements: 1) Fully integrated, 2) Low power consumption, 3) Fully differential Page 11 RF LINK CMOS circuits -- Comparator with hysteresis -VDD M16 M14 M10 M7 Von M15 M13 M9 CP M5 M8 M12 M20 M21 M6 M11 M19 M1 M17 Vop 1 0 Received carrier Vinp Vinn M18 PSK input M22 M2 CN M3 BN M4 M23 M24 Hard-limited carrier VSS Fully differential comparator Page 12 Simulation result of the comparator 1 RF LINK CMOS circuits (cont’d) -- The voltage controlled oscillator -VDD M11 M12 BP CP M13 M14 MP11 M3 M4 Voutp MP12 R1 Vinp M9 Ic M10 M1 Page 13 Vtune C1 M15 M17 MN14 M5 M6 M16 M18 MN13 M7 M8 Gm Cell Voutn ictrl Vinn CN M2 VSS Relaxation Oscillator RF LINK to Transfer Power & Data -- The BPSK demodulator chip -Simulation & Experimental results Monolithic implementation Parameters Transmitter Coil (PCB) Receiver Coil (PCB) Coefficient Tech CMOS ASK demodulators [LIU2000] [AKI1998] Page 14 M. Sawan Data rate (kbps) < 250 < 125 Power consumption N/A 2 mW Simulated 1.25 µ H 1.25 µ H Measured 5 turns, D = 3.5 cm 5 turns, D = 2.7 cm 0.07 0.18 µm Distance 1.5 0.18 µm Circuit area Carrier Freq. Supply Volt. NA 13.56 MHz 1.8 V 0.19 mm2 10 MHz 1.8V/3.3V VCO gain Data rate Power Cons. 14.7 M 1.51 Mbps 652 µ W 13.5 M rad/s 1.12Mbps 610 µ W NA 1.00E-04 BER RF LINK to Transfer Data -- QPSK demodulation implementation -LPF Incoming OQPSK Signal sin("1t + !2) VCO Vs (t) Data Out A Vd(t) $ LPF + 90°# Phase Shifter Data Out B cos("1t +!2) LPF QPSK CMOS 0.18µm 13.56 MHz 4Mbps* 8Mbps** 0.76 mW at 4Mbps *Postlayout **Matlab Page 15 Power transfer -- Efficiency & safety -External Controller C1 Data Modulator Skin Rectifier PA Vdd Battery Implant Switching Regulator ASK Demodulator / DAC/Decoder L2 L1 Shunt regulator C2 Load Shift Key (LSK) To/From Other parts Encoder ASK/PSK Demodulator 0.4 0.35 0.3 0.25 Power Efficiency Versus Load Power W/O Feedback 0.2 0.15 0.1 W Feedback 0.05 0.002 Page 16 0.004 0.006 0.008 0.01 «Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation» OUTLINE Introduction Wireless link (Power and data) Intracortical stimulation & monitoring (Vision) Intracortical recording (multichannel data acquisition) Peripheral nerves connected devices (micturation and apnea control) Laboratory-on-chip Collaborations, Summary for particle detection and infrastructure The visual cortical stimulator -- Evolution / Approaches - Researchers develop solutions 1960s, investigation of creating points of lights Several approaches explored Artificial retina Optic nerves Surface stimulation of the visual cortex Intracortical stimulation of the visual cortex Intracortical stimulation It does not depend on the health of the eye or optic nerve Allows high precision with little power First prototype built few years ago Page 18 The visual cortical stimulator -- Image/data processing -External components Image Acquisition Program GUI Image Enhancement Experimentation data Visuotopic map Config Visual Field Emulator Artificial Vicuotopic Map gen Image fitting SSA to PVC mapping Direct Mapping Low level Pulse sequence Low Level Data Managment Encoding & timing Transmision Page 19 PVC to SSA Maping Ordering Implantable components Interface Module Display Module #1 Module #2 Module #N Matrices of electrodes Inputs Visuotopic Map VDB source Fovea Inverse Stim. Site to PVC Mapping The visual cortical stimulator -- Implant architecture -PWR Stim. Mod. Stim. Mod. Serial in Interface Module Data Ref Clk Stim Mod. DAC #1 DAC #3 Bandgap Bias Vout Stim Mod. DAC #2 Electrode Switch Matrix Controller Coil DAC #0 R2R Multichannel stimulation ETC monitoring Sampling Prog. Time Page 20 Measure voltage & current. Hi-Z Imonit. REF REF To/From Controller Enable Clk Conv ADC Out + - Hi-Z Vmonit. Analog Monit. Bus Current Monit. Controller Stimulate/Monit. Module Normal Stim. Vdd Vss R2R REF The visual cortical stimulator -- Implementation results - Stimulation Module (4x4) CMOS 0.18 µm, ~60 000 Gates Downlink Downlink > 1 Mbps @ 13.56 MHz, Δ = 67% Uplink : 200 kb/s Power: <1mW/SM @ 1MHz > 100 mW load; P (err) < 10-6 TEST structures CTRL Page 21 DACs BIA S MONITORING R2R AMP ELECTRODES CONN / CTRL Monitoring Image acquisition/processing -- Power pre-regulation - With large electrode arrays, stimulation current represents a major part of power consumption Predetermined image scanning results in large current variations Adaptive scanning method regulates current demand Equalize the required power and reduce the peak demands Fixed Scan average Min. Current Max. Current Adaptive Scan average Stimulation current for 1 sample frame Page 22 t Total stimulation current The visual cortical stimulator -- Second prototype - Complete 4x4 channels 2x2x2 mm3; Monitoring; Microstimulation; Flexibility, versatility,… Tests in vivo Presently in rats in collaboration with the department of Psychology McGill In monkeys to begin shortely. Page 23 «Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation» OUTLINE Introduction Wireless link (Power and data) Intracortical stimulation & monitoring (Vision) Intracortical recording (multichannel data acquisition) Peripheral nerves connected devices (micturation and apnea control) Laboratory-on-chip Collaborations, Summary for particle detection and infrastructure Multichannel neural recording -- Requirements and challenges - Subject to severe form factor – small integration area Low power dissipation Restricted to 80 mW/cm2 (~130uW per channel) Neural signal characteristics Amplitude < 100 µV << Noise Level Frequency 100 Hz - 20 KHz Bandwidth limitations Present wireless data rate < 2 Mbps 100 channels sensor = 24 Mbps! In situ signal conditioning and digital signal processing Data reduction, compression, pre-processing In situ Analysis. Page 25 Analog signal conditioning -- Low-noise low-power integrated bioamplifier -v in vf OTA1 + v out CL Ma CI Mb OTA2 + Close loop transfer function : Input-referred noise Power consumption Integration area Phase margin Page 26 5.4 μVrms 8.5 μW < 0.064 mm2 > 60° v ref H ( s) = − sτ A oa 1 sτ + A oa 1 fhp-3dB = Aoa1 / (2πτ) Integrated Bioamplifier -- Frequency and phase responses -55 Gain (dB) 50 100 50 45 0 40 -50 Gain Phase 35 -100 -150 30 10 2 10 3 Frequency (Hz) Page 27 10 4 10 5 Phase Angle (degree) 150 Multichannel neural sensor design -- Conditioning and digitization -Analog inputs Digital outputs Supply I/O pads 1 channel 1 low-noise bioamplifier 1 SAR-ADC 2 output registers A = 0.25 mm x 0.39 mm. The chip includes: 16 recording channels Digital readout Test circuits 8 digital outputs 3 test I/O Multiplexers Test circuits Bias circuits Clock generator Supply Page 28 Analog inputs Digital inputs «Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation» OUTLINE Introduction Wireless link (Power and data) Intracortical stimulation & monitoring (Vision) Intracortical recording (multichannel data acquisition) Peripheral nerves connected devices (micturation and apnea control) Laboratory-on-chip Collaborations, Summary for particle detection and infrastructure The bladder controller -- Selective and permanent stimulations - Selective stimulation to improve voiding: HF stimuli for somatic fibres which innervate the sphincter. LF stimuli for parasympathetic fibres which innervate the detrusor Permanent LF stimulation using low amplitude train waveform to: Prevent the bladder hyperreflexia Maintain the bladder shape. Skin User interface Bipolar cuff electrode Power Data RF emitter Page 30 1/Freq Amp Dualstimulator Bladder PW The bladder controller -- Dual stimulation implant -RF_PWR Switch #1 Power recovery Antenna ASK demodulator Controller #1 (FPGA) Bus controller Other control signals MANCH_IN Manchester decoder DATA_IN CLOCK READY Controller #2 (RISC µP) Switch #2 Battery Switch #2 PIC_PWR SWT_PWR SYS_ON Serial DAC Current source Nerve d c Current (mA) b e f a Page 31 Current switches g Time (Sec.) «Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation» OUTLINE Introduction Wireless link (Power and data) Intracortical stimulation & monitoring (Vision) Intracortical recording (multichannel data acquisition) Peripheral nerves connected devices (micturation and apnea control) Laboratory-on-chip Collaborations, Summary for particle detection and infrastructure Laboratory-on-Chip -- Integration of Microfluidic Structures into Microelectronic devices -Epoxy encapsulation Microtube Microflow Microchannel Microchamber Sensing electrode Microelectronics chip Electronics board Page 33 Experimental Results -- Capacitive sensor - Circuit implemented in the same CMOS chip. M7 M2 Ck1 M1 Vb1 Vout CR M13 M14 Ck2 Gnd CS Is-IR Gnd Interdigitated electrode (One of capacitances) Cin Interdigitated electrode M10 CBCM Cin Page 34 Laboratory-on-Chip -- Direct-Write CMOS Based LOC - Direct write CMOS-based Capacitive electrode A new approach for the fabrication of microfluidics Robotic deposition of fugitive ink Coating of epoxy on substrate and curing it Extraction of ink and shaping a microfluidic device Page 35 Experimental results. Dielectrophoresis electrode Lab-on-chip Capacitive electrode Electrode Flowing droplet «Microsytèmes dédiés aux applications médicales intracorticales: réalisation et expérimentation» OUTLINE Introduction Wireless link (Power and data) Intracortical stimulation & monitoring (Vision) Intracortical recording (multichannel data acquisition) Peripheral nerves connected devices (micturation and apnea control) Laboratory-on-chip Collaborations, Summary for particle detection and infrastructure Regrouper pour innover Alliance for innovation http://www.resmiq.org Université de Montréal Microsystems Strategic Alliance Université of Québec McGill Mohamad Sawan, directeur depuis 1999. Université du Québec Contenu à Montréal Domaines de recherche École Polytechnique Personnels, résultats et contributions de Montréal Projets et infrastructures École de technologie Promotion de travaux (Newcas). supérieure Université Concordia Domaines de recherche --- Applications --Dispositifs médicaux Technologies micro et nanoélectroniques émergentes Circuits & systèmes (analogique, numérique, RF) Sécurité, Multimédia Contrôle industriel Nanoélectronique Page 38 Télécom. Optiques & sans fil Modélisation, synthèse & co-design Test, vérification & caractérisation Assemblage µsystèmes Contributions et réalisation --- Exemples --- Transferts technologiques 1 2 3 4 5 : : : : : Cinéma maison 3D (Sensio) Radio programmable (Canadian Marconi) Annulation des interférences 3G (Axiocom) Implants électroniques (Victhom) Composants haute précision (LTRIM) Travaux d’envergure actuelles 1 2 3 4 5 6 7 8 Page 39 : : : : : : : : Micro et nano-robots Microsystèmes intégrés (Lab sur puce) Fluoromètres miniatures RFID pour localisation 3D Synthèse et vérification SoC CODEC voix et image Dispositifs médicaux Autres (> 100 projets). Collaborations --- Nationale et internationale --- 8 universités Au Québec CMC µsystems Paris, Bordeaux, Montpellier, Metz, Lyon, .. Tunisie, Maroc, Liban, etc.. Page 40 Autres universités au Canada EU, Chine, Inde, … Industries au Québec Industries Ailleurs au Canada http://www.polystim.org -- Collaborations with medical institutions -Royal Victoria Bladder control Mtl. Neurologic Inst. Vision Respiration Ste-Justine Notre-Dame Electrodes Epilepsy Sacré-Cœur Catheters Page 41 Hôtel-Dieu CHUS Imaging IRCM Monitoring http://www.lasem.org Assembly Infrastructure CFI Room A345 Page 42 ReSMiQ founded an annual international conference IEEE- NEWCAS 2003 : Montréal, 70 participants 2004 : Montréal, 90 participants 2005 : Québec, 110 participants 2006 : Gatineau - Ottawa, 125 participants http://www.newcas.org Conclusion Brève description de quelques projets de l’équipe Polystim - Multidisciplinaires - Plusieurs intervenants L’enregistrement multicanaux nous permettra de comprendre le mécanisme de la vision et autres fonctions du SNC. Les progrès technologiques nous facilitent de plus en plus la tâche pour réaliser de nombreux implants et améliorer la qualité de vie de patients Dispositifs médicaux pour surveiller et stimuler dans la région visuelle du cortex seront bientôt disponibles pour permettre une vraie vision pour les non-voyants. Aperçu sur le regroupement stratégique en microsystèmes du Québec (ReSMiQ). Page 44 Main references BUFFONI, L.X., SAWAN, M., COULOMBE, J., “Image Processing Strategies Dedicated to Visual Cortical Stimulators: A Survey”, Artificial Organs J., Vol 29, no 8, 2005, pp. 658-664. CRAMPON, M.A., SAWAN, M., BRAILOVSKI, V., TROCHU, F., “New easy to install nerve cuff electrode based on a shape memory alloy armature: fabrication, modelling and experimental results”, Int. J. of Bio. Materials and Eng., 2002, V. 23, N. 5, pp. 392-395. COULOMBE, J., CARNIGUIAN, S., SAWAN, M., “A Power Efficient Electronic Implant For A Visual Cortical Stimulator”, Artificial Organs J., Vol. 29, no. 3, 2005, pp. 233-238. DJEMOUAI, A., SAWAN, M., SLAMANI, M., "New Frequency-Locked Loop Based on CMOS Frequency-toVoltage Converter: Design and Implementation", IEEE Trans. CAS-II, Vol. 48, No. 5, 2001, p. 441-449. HU, Y., SAWAN, M., “A Fully-Integrated Low-Power BPSK Demodulator for Implantable Medical Devices”, IEEE Transactions on CAS-I, Vol. 52, no. 12, 2005, pp. 2552-2562. HU, Y., SAWAN, M., EL-GAMAL, M.“An Integrated Power Recovery Module Dedicated to Implantable Devices”, Springer Analog ICs & Signal Processing J., Vol. 42, no. 3, 2005, pp. 171-181. HU, Y., SAWAN, M., "CMOS Front-end Amplifier Dedicated to Monitor Very Low Amplitude Signal from Implantable Sensors", Kluwer Analog ICs & Signal Processing J., 2002, Vol.33, pp. 29-41. LU, Z., HU, Y., SAWAN, M., “A 900 mV 66 µW Sigma-Delta Modulator Dedicated to Implantable Sensors”, IEICE Transactions on Information and Systems, Vol. E88-D, no. 7, July 2005, pp. 1610-1617. NORMANDIN, F., SAWAN, M., FAUBERT, J., “A New Integrated Front-End for a Non-Invasive Brain Imaging System Based on Near-Infrared Spectroreflectometry”, IEEE Trans. CAS-I, Vol. 52, no. 12, 2005, pp. 2663-2671. SAWAN, M., TREPANIER, A., TREPANIER, J.L., AUDET, Y., “A New CMOS Multimode Digital Pixel Sensor Dedicated to an Implantable Visual Cortical Stimulator”, To appear in Springer Analog ICs & Signal Processing J., 2006. SAWAN, M., HU, Y., COULOMBE, J., “Wireless Smart Implants Dedicated to Multichannel Monitoring and Microstimulation”, Invited paper in IEEE Circuits and Systems Magazine, Vol. 5, 2005, pp. 21-39. Page 45