Parkinson’s patient & physician aiding system Performed by: Alexander Kinko Stanislav Shapiro Barukh Trabelsi Instructor: Boaz Mizrachi Part A Final &

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Presentation transcript:

Parkinson’s patient & physician aiding system Performed by: Alexander Kinko Stanislav Shapiro Barukh Trabelsi Instructor: Boaz Mizrachi Part A Final & Status Presentation Part A Final & Status Presentation

Agenda Functional description & system’s features (short reminder) Description of performed project’s activities Review of tested hardware and functions Review of accelerometer’s tests performed Review of suggested database Review of physician application’s mock-up Description of future milestones & project’s activities Estimated timeline

Recognition of a unique nature of Parkinson’s tremor (2÷12 Hz). Recognition of at least 2 Parkinson’s attacks per minute Storing parameters (starting time, duration, strength, frequency) describing each Parkinson’s attack in the non-volatile on-device memory. Optional notification to patient on appearing of Parkinson’s attack by:  Buzzer / LED indication  Vibration (enhanced system only) Interconnection to PC for performing extended data processing and better tracking. Functional Description Of The System

System’s Features Autonomous portable system, that can be worn on the Parkinson’s patient wrist. There’s an option, to put it on other patient’s limbs as well (head, leg, etc.). Both systems (minimal and enhanced) are small: minimal system – 15x32x52mm, enhanced system – 18x43x68mm. Minimal period for storing parameters - 7 days. Power supply by 3 different sources: solar cell, rechargeable battery and USB. “Low-battery” state alert. Communication with host PC by 2 different ways: IrDA & USB.

Hardware (Alex): Layout and production of PCBs for both systems Defining assembly process for both PCBs Assembling 2 pilot PCBs (enhanced system only) Defining & performing of basic electrical tests  Assembling 3 additional PCBs for enhanced system + 2 pilot PCBs (basic system) Software & field tests (Stas): Embedded PMD system: Basic programming modules to interface most of the hardware Initialization and checking interface between different hardware elements Field tests to accelerometer using programmable vibration machine  “Fine tuning” to integrated B.P.F. in order to match best project’s needs Performed Project’s Activities

Performed Project’s Activities (cont.) Software: Embedded Communication (Yaron, Ehud): Learn microcontroller and electrical circuit Learn IR & USB communications protocols  Defining communication structure  Write PIC’s program that enables communication by IR and USB Physician’s application (Barukh, Stas, Alex + Yaron & Ehud): Defining physician’s application view (mock-up)  Defining wanted visualization (displayed graphs)  Defining database structure  Physician’s application Mechanics (Yaron, Ehud):  Fitting of the assembled PCBs in the purchased boxes

Tested Hardware And Functions Accelerometer EEPROM Buzzer Vibration motor LEDs Capacitive buttons Power management FFT function and initial B.P.F. have been implemented. Filter is: correct frequency for 6 consecutive FFTs.

With this database we want to achieve two goals: Be able to reconstruct the entire signal Save memory space We suggest the following concept: We divide the memory into segments. Each segment has similar Fourier transform and we also store a time stamp and duration of the segment. We assume that in a typical Parkinson's tremor at close times there is similar motion. Therefore, a segment is relatively long and we will save space and will be able to reconstruct the signal. The structure is: Suggested Database

Control Bytes: ID - Patient ID OFFSET TIME - ”Activation” time stamp L.ADDR - Last address written to CONFIG - Configurable parameters: Address space: 0x x1FFFF=131,072 byte CONTROL 18 BYTES SEGMENTS EEPROM Structure

ERR - Max error to start a new segment – up to 16% BPE - Bits per entry (Y) BUT.FUN - Select one of 4 possible functions per button MODE - Sampling mode FFTPS - FFT after X seconds PERIPHERAL CONFIGURATIONS - vib. motor, buzzer … Configuration Bytes

FFT for 32 samples that were collected at 25Hz: * The x axis units are “resolution”: 1unit = 25/32 FFT Results

Review Of Physician Application’s Mock-Up

Finalizing assembly a total of 10 systems (5 basic systems + 5 enhanced systems) Define, test and finalize IR and USB communication Gradual integration for additional software modules Complete software solution for embedded system (PMD) including communication interface Completing physician’s application software Full integration between PMD and PC Performing field measurements and tests to the system by real patient(s) Presentation of complete system Future Milestones & Project’s Activities

Gantt diagram HW SW comm Preliminary electrical tests(End of part A) Definition of communication protocol Completed mini system(HW & SW) Communication with PC Presentation of the finished system

Any Questions...?