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- 1. https://goo.gl/QRHuz2 MBHC automated telemedical -mobile basic health check - for the masses in Africa/Asia/LA http://bhc.bplaced.net/ today it’s a vision tomorrow it will be reality 03.2018 1
- 5. https://goo.gl/QRHuz2 5 best vandalism protection container version
- 6. https://goo.gl/QRHuz2 Imagine: just sitting in a cabin.. What parameters could be measured today? ● … with low budget ● … non invasive ● … useable worldwide for “the masses” 6
- 7. https://goo.gl/QRHuz2 sensors & technology - that could be used ● MEMS micros ● ultrasonic sensors ● weight sensor ● accelerometerx ● pulsoxymeters ● cams ● infra red cam ● single shot refractometer ○ some ESP32 ○ some Raspberry Pi B3+ ■ Internet access 365/24 ● solar power 7
- 8. https://goo.gl/QRHuz2 technologies that are available now ● speech recognition in all (google supported) languages ● speaker recognition, gender, age ● face and eye recognition with Raspberry pi ● gender recognition by speech ● backend image processing ● artificial intelligence ● TTS pico speak offline 8
- 9. https://goo.gl/QRHuz2 parametersm that could be measured ● gender, age ● body weight and BMI ● body length, dys-/proportion: sitting/standing (amputations) ● shaking (e.g. ADHS/ Accelerometer, M. Parkinson) ● (skin/PERIPHERAL FINGER) temperature ● hair (Alopezia) ● heart rhythm (radar) ● oxygen saturation => heart illness ● breathing rhythm (radar) ● full eye status (visus testing, full refraction) ● full audiometric status (auditive disabilities) ● reaction testings ● eye blink and movements 9 automatic total check time needed estimated: 30 minutes?
- 10. https://goo.gl/QRHuz2 parameters ● two pulsoxymeters right/left middle finger ● detecting puls frequency, side differences? amplutudes, temperature ● oxygen saturation ● thermo face cam ○ infections. body/face peripheral temperature (remember SARS epidemics!!) ○ cam: Gesichtszentrierung ○ cam above: wearing hut / detecting Alopecia, detecting max HWS rotation when moving head along a blinking led-line ● cheap radar chip ○ doppler effect aallwing detecting : Normopnoe, Tachypnoe, Hypopnoe -> COPD 10
- 11. https://goo.gl/QRHuz2 How to obtain these parameters I ● Radar Module (in front of client) ○ breath frequency, recorded during the whole period of testing ○ heartbeat rate, recorded during the whole period of testing ● movable screen (in front of client) ○ 2 x loudspeakers aside chair in wall -> doing audiometry ■ verbal commands , using speech recognition ○ determining visus by screen testing ■ verbal commands also, using speech recognition ■ automated refraction analysis is possible today 4 screening ■ anthropometric hand measuring : children/adult age recognition ○ cam 4 face centric ● Audio profiling ○ women / men ○ language ○ detecting heart failure (“water in lung”) 11
- 12. https://goo.gl/QRHuz2 Details content ● Height ● Weight ● ECG 12
- 13. https://goo.gl/QRHuz2 13 Heigth measurement by ultrasonic sensors
- 14. https://goo.gl/QRHuz2 details: breathing sensoring https://www.ncbi.nlm.nih.gov/pubmed/12583278 Abstract The paper introduces the design of hardware and software of non-contact detection system for breathing and heartbeat in human body with radar principles and technology. The detection technology is discussed. Under conditions of the illuminating power P < 1 mW and the distance S < 10 m, the non-contact breathing and heartbeat measurement, can be in different positions and with different clothing on the subject. The results show that the system with the technology has a high sensitivity, and is harmless to the health. It is a practicable non-contact detection technology for breathing and heartbeat of human body. PMID: 12583278 [Indexed for MEDLINE] 14
- 15. https://goo.gl/QRHuz2 details: breathing sensoring ● https://hackaday.com/2015/08/15/arduino-radar-watches-you-breath/ ● http://hforsten.com/heartbeat-detection-with-radar.html 15
- 22. https://goo.gl/QRHuz2 details: eye blinking recognition & visus 22
- 27. https://goo.gl/QRHuz2 details: proportions | dys- 27
- 28. https://goo.gl/QRHuz2 details: heartbeat sensoring ● https://www.ncbi.nlm.nih.gov/pubmed/12583278 Abstract The paper introduces the design of hardware and software of non-contact detection system for breathing and heartbeat in human body with radar principles and technology. The detection technology is discussed. Under conditions of the illuminating power P < 1 mW and the distance S < 10 m, the non-contact breathing and heartbeat measurement, can be in different positions and with different clothing on the subject. The results show that the system with the technology has a high sensitivity, and is harmless to the health. It is a practicable non- contact detection technology for breathing and heartbeat of human body. PMID: 12583278 [Indexed for MEDLINE] 28
- 29. https://goo.gl/QRHuz2 details: heartbeat/breathing sensoring ● https://www.ncbi.nlm.nih.gov/pubmed/12583278 ● http://hforsten.com/heartbeat-detection-with-radar.html 29
- 30. https://goo.gl/QRHuz2 processing ● no paper needed ● solar power ● anonymous ● smartphone / QR code based 30
- 31. https://goo.gl/QRHuz2 operational aspects ● working time : 14 hrs / day ● about 3 persons / hr / box ● about 40 persons / day ~ 5 boxes as a set ● 200 persons / day ● 1200 persons / week Mo-Sa 31
- 32. https://goo.gl/QRHuz2 costs ● exp. 1.500 USD / box ● 3 boxes in a container => 5000 + 3000 =>10.000 USD operational staff needed: ● 2 - 3 people for cleaning & supervision 32
- 33. https://goo.gl/QRHuz2 revenue costs ● 200 persons a day ● 1 USD pP ● 200 USD / day ● 1200 USD / week ● 4800 USD / month 50.000 USD/yr/container ● allowing more investments operational staff needed: ● 3-5 people - for cleaning & supervision a 35 USD => 150 USD/month 33
- 34. https://goo.gl/QRHuz2 hygeia ● super clean boxes ● cleaned regularly 34
- 36. https://goo.gl/QRHuz2 contact ● www: http://bhc.bplaced.net/ ● email: basic.health.check@gmail.com 36