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Table 2 Chronological development of closed-loop ventilation for O2 control in vivo

From: The dawn of physiological closed-loop ventilation—a review

Year

First author

Controller type

Patient

Ventilation variables

Subject

Setpoint control

Compared to Manual

1975

Mitamura [36]

On/off

SaO2

FiO2

x

o

1979

Beddis [37]

P

PaO2

FiO2

Neonates (n = 12)

o

o

1985

Sano [18]

Adaptive

tcPO2

FiO2

Dogs (n = 2)

x

o

1987

Yu [19]

Adaptive

SpO2

FiO2

Dogs (n = 8)

x

o

1988

Dugdale [38]

Robust

PaO2

FiO2

Neonates (n = 7)

o

x

1991

East [45]

PID

PaO2

PEEP, FiO2

Dogs (n = 4)

x

o

1992

Bhutani [39]

PID

SaO2

FiO2

Neonates (n = 14)

o

x

1995

Waisel [40]

Expert

SaO2

FiO2, PEEP

Patients (n = 6)

o

x

1997

Raemer [47]

PID

SpO2

FiO2

Dogs (n = 6)

x

o

2001

Claure [41]

Rule-based

SpO2

FiO2

Neonates (n = 14)

o

x

2004

Urschitz [42]

Expert

SpO2

FiO2

Neonates (n = 12)

o

x

2008

Johannigman [48]

PID

SpO2

FiO2

Patients (n = 15)

x

o

2017

Morozoff [49]

Adaptive

SaO2

FiO2

Neonates (n = 7)

o

x

2018

Gajdos [44]

Adaptive

SpO2

FiO2

Neonates (n = 12)

o

x

  1. Setpoint control is again the dynamic response of the system to changes of the target. Disturbance rejection was seldom evaluated for O2 control systems. Instead, the controller was compared to a manual (clinician-in-the-loop) system, with the metric being the total time spent at the target zone