EAROMICS -2015
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Health data capture with IoT located on the external ear. http://www.scoop.it/t/health-4-0
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EAROMICS -2015
- 1. EAROMICS H2O = Humanization of Healthcare Prof.Dr.O.Ferrer-Roca, 2015 Prof.Dr.O.Ferrer-Roca, 2015
- 2. PULSEOXIMETRY The noninvasive measurement of arterial oxygen saturation (SpO2) by pulse oximetry has become a standard of care. In addition to oxygen saturation values, many pulse oximeters display a photoelectric plethysmographic waveform, which reflects a combination of volume and flow changes in skin microcirculation. Plethysmographic wave displayed is highly processed and filtered signal (Inverted, autocentered, autogained, and after a bandpass filtering. Prof.Dr.O.Ferrer-Roca, 2015
- 3. ABP versus PPG • Utility of the Photoplethysmogram in Circulatory Monitoring • Anesthesiology. 2008;108(5):950-958. doi:10.1097/ALN.0b013e31816c89e1 Photoplethysmography Arterial blood pressure Prof.Dr.O.Ferrer-Roca, 2015
- 4. Digital Pulse Analysis (DPA) is the next evolution in pulse wave velocity (PWV), and is based on the measurement of reflected infrared light (IR). At a frequency of 805 nm, both oxygenated and deoxygenated blood have the same absorption, thereby ensuring accuracy based on blood flow alone. In fact only IR signal at 940 nm is presented in the PPGs because It is much more stable in time if compared with the Red signal at 660 nm that is more susceptible of changes in oxygen saturation. PI (perfussion index) = (AC pulsating IR signal/ AD non-pulsating IR signal ) x 100 % AC= Alternate curve component DC= Direct curve component (venous movement = right atrial contraction + ventilation )Prof.Dr.O.Ferrer-Roca, 2015
- 6. PPG analysis. I.- FFT (frequency domain) Frequencies of the Autonomic Nervous System: 1.-VLF (very low frequency) 0.0033-0.04 Hz 2.- LF (low frequency) Mayer waves 0.04-0.15 Hz 3.- HF (high frequency)Vagus Nerve 0.15-0.4 Hz Sympathetic predominance LF norm = LF/LF+HF Parasympathetic predominance HF norm = HF/ LF+HF Prof.Dr.O.Ferrer-Roca, 2015
- 7. PPG analysis. II.-Time domain Prof.Dr.O.Ferrer-Roca, 2015
- 8. HRV = Heart rate variability valuable indicator of phrophylactic cardiovascular interventions SD1= Short term beat-to-beat variability SD2= Long term beat-to-beat variability x= HHI or RRI sequences Var= variance of sequences SDNN= SD of HHI or RRI Selvaraj, N.; Jaryal,A.; Santhosh, J.; Deepak, K.K.; Anand, S. Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography.J. Med. Eng.Tech. 2008, 32, 479-484. PRV= Pulse rate variability now is used from PPG Prof.Dr.O.Ferrer-Roca, 2015
- 9. Healthy CV patients have a well defined “dicrotic wave” in the diastolic phase at D, whereas 98% of overt arteriosclerotic patients had significant decrease or disappearance of the wave Elements of PTG (Systolic Phase) 1. S (Starting Point) Starting point of systolic phase of arterial pulse-wave. Aortic valve opens and the blood of the LV is ejected into aorta. 2. P (PercussionWave) Wave caused from LV ejection that increases the blood volume within artery. Higher point means stronger LV ejection and higher compliance of larger artery. 3.T (TidalWave) Reflected wave from the small artery. Higher point means contraction and stiffness of small artery. 4. C (Incisura) End-point of systolic phase, then aortic valve is closed. Less drop from pulse height (PH) means larger resistance (arterial contraction & tension). Prof.Dr.O.Ferrer-Roca, 2015
- 11. Second derivative APG wave Prof.Dr.O.Ferrer-Roca, 2015
- 15. LVED= LeftVentricular End Diastolic Pressure Capable to indicate and grade CHF = Chronic Heart Failure Prof.Dr.O.Ferrer-Roca, 2015
- 19. Now everything is available 24h/day • H2O = Humanization of Healthcare • EAROMICS with PPG from the ear • Costumized and hack4health Oxirate ® Flip ® Ear-o-Smart ® Prof.Dr.O.Ferrer-Roca, 2015
- 20. Extended to GSR & EDA GSR= Galvanic Skin Response EDA= Electrodermal Activity Prof.Dr.O.Ferrer-Roca, 2015
- 22. Extended to eating habits Prof.Dr.O.Ferrer-Roca, 2015
- 23. Extended to Glucosae NIR glucometer by Arduino InGaAs photodiode, 8 LEDs(2 x Green, 2 x NIR @ 1550nm, 1 IR @ 960nm, 1 Red) an Atmega328p, and the circuits required to run those. Also it contains a small LiPo in order to be able to test, or take training data.Two separate circuit boards and the ADC is channeled through an MCP3421 and then i2c goes across a connector at the bottom which also supplies the regulated 3.3V Prof.Dr.O.Ferrer-Roca, 2015
- 24. 4P (preventive-pervasive-proactive-personalized) DIY data HSD (health small data) Prof.Dr.O.Ferrer-Roca, 2015
Notes de l'éditeur
- http://content.neurosky.com/download-the-comparison-guide-electrical-ecg-vs.-light-based-ppg-biosensors-in-wearable-devices
- Analysis of the Ear Pulse Oximeter Waveform. JOURNAL OF CLINICAL MONITORING AND COMPUTING · JUNE 2006 Impact Factor: 1.45 · DOI: 10.1007/s10877-006-9018-z · Source: PubMedg
- http://anesthesiology.pubs.asahq.org/article.aspx?articleid=1932131
- Four parameters were calculated from time domain RRI and HHI recordings [20] the mean interpulse interval (mean NN), the standard deviation of the interpulse intervals (SDNN), the square root of the mean squared differences of successive interpulse intervals (RMSSD) and the proportion of differences of successive interpulse interval exceeding 50 ms, known as pNN50; this was derived by the number of interpulse interval exceeding 50 ms dividing by the total number of interpulse intervals.
- Four parameters were calculated from time domain RRI and HHI recordings [20] the mean interpulse interval (mean NN), the standard deviation of the interpulse intervals (SDNN), the square root of the mean squared differences of successive interpulse intervals (RMSSD) and the proportion of differences of successive interpulse interval exceeding 50 ms, known as pNN50; this was derived by the number of interpulse interval exceeding 50 ms dividing by the total number of interpulse intervals.
- The Poincaré plot is one of the most widely used techniques for nonlinear HRV analysis, it is a plot of each RR interval against the previous one. From a Poincaré plot, two non-linear parameters SD1 and SD2 can be calculated [21]:
- http://www.positivedesigns.com/cardio/2010-Breakthrough.pdf
- HRV http://www.biofotonika.lu.lv/fileadmin/user_upload/lu_portal/projekti/biofotonika/Publikacijas/A4/SPIE/31.MGreve_ESGCO2012-Comparison_of_Pulse_Rate_Variability_Derived_from_Digital_Photoplethysmography_over_the_Temporal.pdf Signal was filtered by second-order reverse phase Butterworth filter in frequency range 0.2-8 Hz. Heart intervals were calculated as a distance between two feet of consecutive PPG waveforms. The feet of the PPG waveforms were estimated in the following way:
- http://bja.oxfordjournals.org/content/107/3/329.full.pdf https://books.google.es/books?id=klm-BAAAQBAJ&pg=PA174&lpg=PA174&dq=ear+plethysmography&source=bl&ots=WTMRfif9wv&sig=L-KRHDxivQ2vMmav03sOEtCk_f0&hl=es&sa=X&ved=0CCsQ6AEwADgKahUKEwiPj7eIttPHAhUFcD4KHfcLCEs#v=onepage&q=ear%20plethysmography&f=false
- https://books.google.es/books?id=klm-BAAAQBAJ&pg=PA174&lpg=PA174&dq=ear+plethysmography&source=bl&ots=WTMRfif9wv&sig=L-KRHDxivQ2vMmav03sOEtCk_f0&hl=es&sa=X&ved=0CCsQ6AEwADgKahUKEwiPj7eIttPHAhUFcD4KHfcLCEs#v=onepage&q=ear%20plethysmography&f=false
- https://youtu.be/go7tpCm72qU
- http://www.wearflip.in/ https://www.kickstarter.com/projects/704054850/ear-o-Smart
- https://hackaday.io/project/5508/gallery#729a58dd8bc7bb4423577f1cc04eb709 I started this project a while ago, but then my school began to pick up and I needed to take a break. I have designed the hardware and have the basic concepts down but it still needs to be programmed. I may be taking a different approach to the programming aspect of it in terms of how it will actually determine the amount of glucose. The current system consists of a few components, an InGaAs photodiode, 8 LEDs(2 x Green, 2 x NIR @ 1550nm, 1 IR @ 960nm, 1 Red) an Atmega328p, and the circuits required to run those. Also it contains a small LiPo in order to be able to test, or take training data. Right now it is held together with an elastic band which helps it clip onto an ear. It is two separate circuit boards and the ADC is channeled through an MCP3421 and then i2c goes across a connector at the bottom which also supplies the regulated 3.3V to the arduino. The case was printed at Shapeways.