1. Progress Seminar
이준녕

2. 연구 진행 상황 보고서 재활의학과 응급의학과 혈압팀 2주전 계획 연구 결과 문제점 및 대책 목표 및 계획 -
Real-time RNN 개발
연구 결과
WPR minor revision 진행 및 투고
RNN 인풋 변경 (마취과 의견 반려)
마취과 데이터 pre-processing
RNN architecture 변환 (real-time 고려 및 accuracy 향상)
비침습적 혈압 평균 및 표준편차 추정 연구
문제점
및 대책
목표 및 계획

3. 기존 input method normalization factors obtained after post-processing
Post process

4. Method: real-time normalization factors
n min calibration (cumulative)
p min calibration
How long does p need to be such that results are good?

6. Mean Initial value for the mean is derived from demographic data
Demographic data is obtained from 24hr BP measurements
Demographic data can be used for mean value, when 1-point calibration measurement is not available
If 1-point calibration measurement (measuring BP once before start of recording) is available, this value can replace the mean value
It may be safe to assume that 1-point calibration measurement value is very close to the actual mean BP value of the subject
If using 1-point calibration measurement yields values that are too extreme (in cases where the measurement was done when the subject was in hemodynamic stress or when the measurement had errors), demographic data and this value can be averaged to yield a new mean BP value

7. Mean Initial value for the mean is derived from demographic data
Demographic data is obtained from 24hr BP measurements
Demographic data can be used for mean value, when 1-point calibration measurement is not available
If 1-point calibration measurement (measuring BP once before start of recording) is available, this value can replace the mean value
It may be safe to assume that 1-point calibration measurement value is very close to the actual mean BP value of the subject
If using 1-point calibration measurement yields values that are too extreme (in cases where the measurement was done when the subject was in hemodynamic stress or when the measurement had errors), demographic data and this value can be averaged to yield a new mean BP value

8. Mean (1-point vs actual mean graph)

9. Mean (1-point vs actual mean graph)

10. Mean Initial value for the mean is derived from demographic data
Demographic data is obtained from 24hr BP measurements
Demographic data can be used for mean value, when 1-point calibration measurement is not available
If 1-point calibration measurement (measuring BP once before start of recording) is available, this value can replace the mean value
It may be safe to assume that 1-point calibration measurement value is very close to the actual mean BP value of the subject
If using 1-point calibration measurement yields values that are too extreme (in cases where the measurement was done when the subject was in hemodynamic stress or when the measurement had errors), demographic data and this value can be averaged to yield a new mean BP value

11. Mean (1-point vs actual mean graph)
이러한 애러가 있을 경우, 측정을 반복하거나 인적통계학 (demographic) 데이터를 쓰면 됨

12. Standard deviation
Standard deviation of BP (throughout a normal day) can be estimated based on demographic data
However, this may be incorrect if a particular person is beyond the average range
This value could be used as an initial value for standard deviation, and may be updated using biosignal data
Standard deviation of BP (throughout a normal day/or at ICU) can be estimated using non-invasive biosignals (ECG and PPG)
PPG is a result of arterial BP waveform, therefore may have variations similar to arterial BP
There have been studies which have used features of PPG from time-domain and frequency-domain to estimate BP
1-point calibration may be necessary to estimate standard deviation of BP using non-invasive bio-signals

13. Standard deviation
Standard deviation of BP (throughout a normal day) can be estimated based on demographic data
However, this may be incorrect if a particular person is beyond the average range
This value could be used as an initial value for standard deviation, and may be updated using biosignal data
일상생활 중 혈압의 변화 범위 (평균 및 표준편차) 는 나이/성별/병(고혈압, 고혈당) 등등에 따라서 통계 데이터가 있음
하지만 한 sample의 평균이기 때문에 틀릴 수도 있고, 모든 population에 적용되는 데이터는 없음 (예를 들어, 동양인 데이터와 서양인 데이터는 평균과 표준편차가 다름)
따라서 위 값으로 시작하고 생체신호를 이용하여 보정해주는 방법으로 고려 중임

14. Standard deviation
Standard deviation of BP (throughout a normal day) can be estimated based on demographic data
However, this may be incorrect if a particular person is beyond the average range
This value could be used as an initial value for standard deviation, and may be updated using biosignal data
Standard deviation of BP (throughout a normal day/or at ICU) can be estimated using non-invasive biosignals (ECG and PPG)
PPG is a result of arterial BP waveform, therefore may have variations similar to arterial BP
There have been studies which have used features of PPG from time-domain and frequency-domain to estimate BP
1-point calibration may be necessary to estimate standard deviation of BP using non-invasive bio-signals

15. Variations in ABP vs PPG during ventilation

16. Standard deviation
Standard deviation of BP (throughout a normal day) can be estimated based on demographic data
However, this may be incorrect if a particular person is beyond the average range
This value could be used as an initial value for standard deviation, and may be updated using biosignal data
Standard deviation of BP (throughout a normal day/or at ICU) can be estimated using non-invasive biosignals (ECG and PPG)
PPG is a result of arterial BP waveform, therefore may have variations similar to arterial BP
There have been studies which have used features of PPG from time-domain and frequency-domain to estimate BP
1-point calibration may be necessary to estimate standard deviation of BP using non-invasive bio-signals

17. PPG baseline intensity vs DBP
혈관 직경 Δd에 따라서 PPG의 크기가 변함. 따라서 이러한 변동(표준편차)은 PIR의 변동과 비슷함

18. Single PPG spectrogram w/ ANN for BP estimation

19. Standard deviation
Standard deviation of BP (throughout a normal day) can be estimated based on demographic data
However, this may be incorrect if a particular person is beyond the average range
This value could be used as an initial value for standard deviation, and may be updated using biosignal data
Standard deviation of BP (throughout a normal day/or at ICU) can be estimated using non-invasive biosignals (ECG and PPG)
PPG is a result of arterial BP waveform, therefore may have variations similar to arterial BP
There have been studies which have used features of PPG from time-domain and frequency-domain to estimate BP
1-point calibration may be necessary to estimate standard deviation of BP using non-invasive bio-signals