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Volumn 18, Issue 1, 2013, Pages 108-116

Nonlinear model for estimating respiratory volume based on thoracoabdominal breathing movements

Author keywords

artificial neural network; nonlinear model; qualitative diagnostic calibration; respiratory inductance plethysmography; respiratory volume

Indexed keywords

ACCURACY; ADAPTIVE NEURO FUZZY INFERENCE SYSTEM; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREATH ANALYSIS; BREATHING; CALIBRATION; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; FUZZY SYSTEM; HUMAN; LUNG FLOW VOLUME CURVE; LUNG VOLUME; MALE; MEASUREMENT ERROR; NONLINEAR SYSTEM; PLETHYSMOGRAPHY; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; RESPIRATORY INDUCTIVE PLETHYSMOGRAPHY; RESPIROMETRY; SIMULATION; TIDAL VOLUME;

EID: 84871837655     PISSN: 13237799     EISSN: 14401843     Source Type: Journal    
DOI: 10.1111/j.1440-1843.2012.02251.x     Document Type: Article
Times cited : (22)

References (51)
  • 1
    • 3042684393 scopus 로고    scopus 로고
    • A short daytime test using correlation dimension for respiratory movement in OSAHS
    • Miyata M, Burioka N, Sako T, et al,. A short daytime test using correlation dimension for respiratory movement in OSAHS. Eur. Respir. J. 2004; 23: 885-90.
    • (2004) Eur. Respir. J. , vol.23 , pp. 885-890
    • Miyata, M.1    Burioka, N.2    Sako, T.3
  • 2
    • 0021025233 scopus 로고
    • Effects of a face mask and pneumotachograph on breathing in sleeping infants
    • Dolfin T, Duffty P, Wilkes D, et al,. Effects of a face mask and pneumotachograph on breathing in sleeping infants. Am. Rev. Respir. Dis. 1983; 123: 977-9.
    • (1983) Am. Rev. Respir. Dis. , vol.123 , pp. 977-979
    • Dolfin, T.1    Duffty, P.2    Wilkes, D.3
  • 3
    • 33847323021 scopus 로고    scopus 로고
    • Respiratory inductive plethysmography to assess respiratory variability and complexity in humans
    • Fiamma MN, Samara Z, Baconnier P, et al,. Respiratory inductive plethysmography to assess respiratory variability and complexity in humans. Respir. Physiol. Neurobiol. 2007; 156: 234-9.
    • (2007) Respir. Physiol. Neurobiol. , vol.156 , pp. 234-239
    • Fiamma, M.N.1    Samara, Z.2    Baconnier, P.3
  • 4
    • 0015384501 scopus 로고
    • Changes in tidal volume, frequency, and ventilation induced by their measurement
    • Gilbert R, Auchincloss JH, Brodsky J, et al,. Changes in tidal volume, frequency, and ventilation induced by their measurement. J. Appl. Physiol. 1972; 33: 252-4.
    • (1972) J. Appl. Physiol. , vol.33 , pp. 252-254
    • Gilbert, R.1    Auchincloss, J.H.2    Brodsky, J.3
  • 5
    • 0022357356 scopus 로고
    • Separation of factors responsible for change in breathing pattern induced by instrumentation
    • Perez W, Tobin MJ,. Separation of factors responsible for change in breathing pattern induced by instrumentation. J. Appl. Physiol. 1985; 59: 1515-20.
    • (1985) J. Appl. Physiol. , vol.59 , pp. 1515-1520
    • Perez, W.1    Tobin, M.J.2
  • 6
    • 33847271160 scopus 로고    scopus 로고
    • The influence of a mouthpiece and noseclip on breathing pattern at rest is reduced at high altitude
    • Rameckers H, Kohl J, Boutellier U,. The influence of a mouthpiece and noseclip on breathing pattern at rest is reduced at high altitude. Respir. Physiol. Neurobiol. 2007; 156: 165-70.
    • (2007) Respir. Physiol. Neurobiol. , vol.156 , pp. 165-170
    • Rameckers, H.1    Kohl, J.2    Boutellier, U.3
  • 7
    • 0019195740 scopus 로고
    • Noninvasive measurement of ventilation during exercise using respiratory inductive plethysmography: I
    • Sackner JD, Nixon AJ, Davis B, et al,. Noninvasive measurement of ventilation during exercise using respiratory inductive plethysmography: I. Am. Rev. Respir. Dis. 1980; 122: 867-71.
    • (1980) Am. Rev. Respir. Dis. , vol.122 , pp. 867-871
    • Sackner, J.D.1    Nixon, A.J.2    Davis, B.3
  • 8
    • 0036135964 scopus 로고    scopus 로고
    • Automated analysis of paradoxical ribcage motion during sleep in infants
    • Brown KA, Platt R, Bates JHT,. Automated analysis of paradoxical ribcage motion during sleep in infants. Pediatr. Pulmonol. 2002; 33: 38-46.
    • (2002) Pediatr. Pulmonol. , vol.33 , pp. 38-46
    • Brown, K.A.1    Platt, R.2    Bates, J.H.T.3
  • 9
    • 0036271677 scopus 로고    scopus 로고
    • Detection of obstructive apnoea events in sleeping infants from thoracoabdominal movements
    • De Groote A, Groswasser J, Bersini H, et al,. Detection of obstructive apnoea events in sleeping infants from thoracoabdominal movements. J. Sleep Res. 2002; 11: 161-8.
    • (2002) J. Sleep Res. , vol.11 , pp. 161-168
    • De Groote, A.1    Groswasser, J.2    Bersini, H.3
  • 11
    • 0026803078 scopus 로고
    • Breathing pattern analysis
    • Tobin MJ,. Breathing pattern analysis. Intensive Care Med. 1992; 18: 193-201.
    • (1992) Intensive Care Med. , vol.18 , pp. 193-201
    • Tobin, M.J.1
  • 12
    • 0031751181 scopus 로고    scopus 로고
    • Validation of respiratory inductive plethysmography using the qualitative diagnostic calibration method in anaesthetized infants
    • Brown K, Aun C, Jackson E, et al,. Validation of respiratory inductive plethysmography using the qualitative diagnostic calibration method in anaesthetized infants. Eur. Respir. J. 1998; 12: 935-43.
    • (1998) Eur. Respir. J. , vol.12 , pp. 935-943
    • Brown, K.1    Aun, C.2    Jackson, E.3
  • 13
    • 0034483555 scopus 로고    scopus 로고
    • Respiratory inductance plethysmography in healthy infants: A comparison of three calibration methods
    • Poole KA, Thompson JR, Hallinan HM, et al,. Respiratory inductance plethysmography in healthy infants: a comparison of three calibration methods. Eur. Respir. J. 2000; 16: 1084-90.
    • (2000) Eur. Respir. J. , vol.16 , pp. 1084-1090
    • Poole, K.A.1    Thompson, J.R.2    Hallinan, H.M.3
  • 14
    • 0023603239 scopus 로고
    • Comparison of calibration methods for respiratory inductive plethysmography in infants
    • Revow MD, England SJ, Stogryn HA, et al,. Comparison of calibration methods for respiratory inductive plethysmography in infants. J. Appl. Physiol. 1987; 63: 1853-61.
    • (1987) J. Appl. Physiol. , vol.63 , pp. 1853-1861
    • Revow, M.D.1    England, S.J.2    Stogryn, H.A.3
  • 15
    • 0014060388 scopus 로고
    • Measurement of the separate volume changes of ribcage and abdomen during breathing
    • Konno K, Mead J,. Measurement of the separate volume changes of ribcage and abdomen during breathing. J. Appl. Physiol. 1967; 22: 407-22.
    • (1967) J. Appl. Physiol. , vol.22 , pp. 407-422
    • Konno, K.1    Mead, J.2
  • 16
    • 0029565268 scopus 로고
    • A simple and reliable method to calibrate respiratory magnetometers and Respitrace
    • Banzett RB, Mahan ST, Garner DM, et al,. A simple and reliable method to calibrate respiratory magnetometers and Respitrace. J. Appl. Physiol. 1995; 79: 2169-76.
    • (1995) J. Appl. Physiol. , vol.79 , pp. 2169-2176
    • Banzett, R.B.1    Mahan, S.T.2    Garner, D.M.3
  • 17
    • 0031195018 scopus 로고    scopus 로고
    • Comparison of impedance and inductance ventilation sensors on adults during breathing, motion, and simulated airway obstruction
    • Cohen KP, Ladd WM, Beams DM, et al,. Comparison of impedance and inductance ventilation sensors on adults during breathing, motion, and simulated airway obstruction. IEEE Trans. Biomed. Eng. 1997; 44: 555-66.
    • (1997) IEEE Trans. Biomed. Eng. , vol.44 , pp. 555-566
    • Cohen, K.P.1    Ladd, W.M.2    Beams, D.M.3
  • 18
    • 0035115402 scopus 로고    scopus 로고
    • Mathematical assessment of qualitative diagnostic calibration for respiratory inductive plethysmography
    • De Groote A, Paiva M, Verbandt Y,. Mathematical assessment of qualitative diagnostic calibration for respiratory inductive plethysmography. J. Appl. Physiol. 2001; 90: 1025-30.
    • (2001) J. Appl. Physiol. , vol.90 , pp. 1025-1030
    • De Groote, A.1    Paiva, M.2    Verbandt, Y.3
  • 19
    • 0036108588 scopus 로고    scopus 로고
    • Key to better qualitative diagnostic calibrations in respiratory inductive plethysmography
    • Millard RK,. Key to better qualitative diagnostic calibrations in respiratory inductive plethysmography. Physiol. Meas. 2002; 23: N1-8.
    • (2002) Physiol. Meas. , vol.23
    • Millard, R.K.1
  • 20
    • 0024501468 scopus 로고
    • Calibration of respiratory inductive plethysmograph during natural breathing
    • Sackner MA, Watson H, Belsito AS, et al,. Calibration of respiratory inductive plethysmograph during natural breathing. J. Appl. Physiol. 1989; 66: 410-20.
    • (1989) J. Appl. Physiol. , vol.66 , pp. 410-420
    • Sackner, M.A.1    Watson, H.2    Belsito, A.S.3
  • 21
    • 0027520433 scopus 로고
    • Comparison of thoracoabdominal calibration methods in normal human subjects
    • Sartene R, Dartus C, Bernard JL, et al,. Comparison of thoracoabdominal calibration methods in normal human subjects. J. Appl. Physiol. 1993; 75: 2142-50.
    • (1993) J. Appl. Physiol. , vol.75 , pp. 2142-2150
    • Sartene, R.1    Dartus, C.2    Bernard, J.L.3
  • 22
    • 0034955205 scopus 로고    scopus 로고
    • Error analysis of a natural breathing calibration method for respiratory inductive plethysmography
    • Stromberg NO,. Error analysis of a natural breathing calibration method for respiratory inductive plethysmography. Med. Biol. Eng. Comput. 2001; 39: 310-14.
    • (2001) Med. Biol. Eng. Comput. , vol.39 , pp. 310-314
    • Stromberg, N.O.1
  • 23
    • 0033173098 scopus 로고    scopus 로고
    • Qualitative diagnostic calibration technique
    • Thompson JR,. Qualitative diagnostic calibration technique. J. Appl. Physiol. 1999; 87: 869-72.
    • (1999) J. Appl. Physiol. , vol.87 , pp. 869-872
    • Thompson, J.R.1
  • 24
    • 0035111801 scopus 로고    scopus 로고
    • Progress in non-invasive respiratory monitoring using uncalibrated breathing movement components
    • Black AMS, Bambridge A, Kunst G, et al,. Progress in non-invasive respiratory monitoring using uncalibrated breathing movement components. Physiol. Meas. 2001; 22: 245-61.
    • (2001) Physiol. Meas. , vol.22 , pp. 245-261
    • Black, A.M.S.1    Bambridge, A.2    Kunst, G.3
  • 25
    • 0029875465 scopus 로고    scopus 로고
    • Occlusion maneuver to detect the relative contributions of the rib cage and abdomen to tidal volume using respiratory inductive plethysmography in infants
    • Gagliardi L, Rusconi F, Aston H, et al,. Occlusion maneuver to detect the relative contributions of the rib cage and abdomen to tidal volume using respiratory inductive plethysmography in infants. Pediatr. Pulmonol. 1996; 21: 132-7.
    • (1996) Pediatr. Pulmonol. , vol.21 , pp. 132-137
    • Gagliardi, L.1    Rusconi, F.2    Aston, H.3
  • 26
    • 0032983040 scopus 로고    scopus 로고
    • Inductive plethysmography components analysis and improved non-invasive postoperative apnoea monitoring
    • Millard RK,. Inductive plethysmography components analysis and improved non-invasive postoperative apnoea monitoring. Physiol. Meas. 1999; 20: 175-86.
    • (1999) Physiol. Meas. , vol.20 , pp. 175-186
    • Millard, R.K.1
  • 27
    • 0021821955 scopus 로고
    • Respiratory inductance plethysmography: Calibration techniques, their validation and the effects of posture
    • Stradling JR, Chadwick GA, Quirk C, et al,. Respiratory inductance plethysmography: calibration techniques, their validation and the effects of posture. Bull. Eur. Physiopathol. Respir. 1985; 21: 317-24.
    • (1985) Bull. Eur. Physiopathol. Respir. , vol.21 , pp. 317-324
    • Stradling, J.R.1    Chadwick, G.A.2    Quirk, C.3
  • 28
    • 0031045171 scopus 로고    scopus 로고
    • A theoretical study of the robustness of the isovolume calibration method for a two-compartment model of breathing, based on an analysis of the connected cylinders model
    • Augousti AT,. A theoretical study of the robustness of the isovolume calibration method for a two-compartment model of breathing, based on an analysis of the connected cylinders model. Phys. Med. Biol. 1997; 42: 283-91.
    • (1997) Phys. Med. Biol. , vol.42 , pp. 283-291
    • Augousti, A.T.1
  • 29
    • 0020816175 scopus 로고
    • Using body surface movements to study breathing
    • Gribbin HR,. Using body surface movements to study breathing. J. Med. Eng. Tech. 1983; 7: 217-23.
    • (1983) J. Med. Eng. Tech. , vol.7 , pp. 217-223
    • Gribbin, H.R.1
  • 30
    • 1242314710 scopus 로고    scopus 로고
    • Scope of linear estimators of tidal and occluded volumes using thoracoabdominal indications of breathing movement
    • Millard RK, Black AM,. Scope of linear estimators of tidal and occluded volumes using thoracoabdominal indications of breathing movement. Med. Eng. Phys. 2004; 26: 225-35.
    • (2004) Med. Eng. Phys. , vol.26 , pp. 225-235
    • Millard, R.K.1    Black, A.M.2
  • 31
    • 0016799618 scopus 로고
    • Asynchronous breathing movements in patients with chronic obstructive pulmonary disease
    • Ashutosh K, Gilbert R, Auchincloss JH, et al,. Asynchronous breathing movements in patients with chronic obstructive pulmonary disease. Chest 1975; 67: 553-7.
    • (1975) Chest , vol.67 , pp. 553-557
    • Ashutosh, K.1    Gilbert, R.2    Auchincloss, J.H.3
  • 32
    • 0017578439 scopus 로고
    • Prospective study of controlled oxygen therapy. Poor prognosis of patients with asynchronous breathing
    • Gilbert R, Ashutosh K, Auchincloss JH, et al,. Prospective study of controlled oxygen therapy. Poor prognosis of patients with asynchronous breathing. Chest 1977; 71: 456-62.
    • (1977) Chest , vol.71 , pp. 456-462
    • Gilbert, R.1    Ashutosh, K.2    Auchincloss, J.H.3
  • 33
    • 84871837747 scopus 로고
    • Degrees of freedom of chest wall motion in man
    • Smith JC, Mead J,. Degrees of freedom of chest wall motion in man. Physiologist 1981; 24: 98.
    • (1981) Physiologist , vol.24 , pp. 98
    • Smith, J.C.1    Mead, J.2
  • 34
    • 0020574392 scopus 로고
    • Validation of respiratory inductive plethysmography in patients with pulmonary disease
    • Tobin MJ, Jenouri G, Lind B, et al,. Validation of respiratory inductive plethysmography in patients with pulmonary disease. Chest 1983; 83: 615-20.
    • (1983) Chest , vol.83 , pp. 615-620
    • Tobin, M.J.1    Jenouri, G.2    Lind, B.3
  • 35
    • 57349144610 scopus 로고    scopus 로고
    • Calibration of respiratory inductance plethysmograph in preterm infants with different respiratory conditions
    • Emeriaud G, Eberhard A, Benchetrit G, et al,. Calibration of respiratory inductance plethysmograph in preterm infants with different respiratory conditions. Pediatr. Pulmonol. 2008; 43: 1135-41.
    • (2008) Pediatr. Pulmonol. , vol.43 , pp. 1135-1141
    • Emeriaud, G.1    Eberhard, A.2    Benchetrit, G.3
  • 36
    • 0021840613 scopus 로고
    • Calibration of computer-assisted (Respicomp) respiratory inductive plethysmography in newborns
    • Warren RH, Alderson SH,. Calibration of computer-assisted (Respicomp) respiratory inductive plethysmography in newborns. Am. Rev. Respir. Dis. 1985; 131: 564-7.
    • (1985) Am. Rev. Respir. Dis. , vol.131 , pp. 564-567
    • Warren, R.H.1    Alderson, S.H.2
  • 37
    • 0029847640 scopus 로고    scopus 로고
    • Association of chest wall motion and tidal volume responses during CO2 rebreathing
    • Yan S, Sliwinski P, Macklem PT,. Association of chest wall motion and tidal volume responses during CO2 rebreathing. J. Appl. Physiol. 1996; 81: 1528-34.
    • (1996) J. Appl. Physiol. , vol.81 , pp. 1528-1534
    • Yan, S.1    Sliwinski, P.2    MacKlem, P.T.3
  • 38
    • 79961167301 scopus 로고    scopus 로고
    • Predicting arterial blood gas values from venous samples in patients with acute exacerbation chronic obstructive pulmonary disease using artificial neural network
    • Raoufy MR, Eftekhari P, Gharibzadeh S, et al,. Predicting arterial blood gas values from venous samples in patients with acute exacerbation chronic obstructive pulmonary disease using artificial neural network. J. Med. Syst. 2011; 35: 483-8.
    • (2011) J. Med. Syst. , vol.35 , pp. 483-488
    • Raoufy, M.R.1    Eftekhari, P.2    Gharibzadeh, S.3
  • 39
    • 79952449677 scopus 로고    scopus 로고
    • A novel method for diagnosing cirrhosis in patients with chronic hepatitis B: Artificial neural network approach
    • Raoufy MR, Vahdani P, Alavian SM, et al,. A novel method for diagnosing cirrhosis in patients with chronic hepatitis B: artificial neural network approach. J. Med. Syst. 2011; 35: 121-6.
    • (2011) J. Med. Syst. , vol.35 , pp. 121-126
    • Raoufy, M.R.1    Vahdani, P.2    Alavian, S.M.3
  • 40
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • Jang JR,. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 1993; 23: 665-85.
    • (1993) IEEE Trans. Syst. Man Cybern. , vol.23 , pp. 665-685
    • Jang, J.R.1
  • 41
    • 0026925677 scopus 로고
    • Self-learning fuzzy controllers based on temporal backpropagation
    • Jang JR,. Self-learning fuzzy controllers based on temporal backpropagation. IEEE Trans. Neural Netw. 1992; 3: 714-23.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , pp. 714-723
    • Jang, J.R.1
  • 43
    • 67349156758 scopus 로고    scopus 로고
    • Assessment of thoraco-abdominal asynchrony
    • Hammer J, Newth CJ,. Assessment of thoraco-abdominal asynchrony. Paediatr. Respir. Rev. 2009; 10: 75-80.
    • (2009) Paediatr. Respir. Rev. , vol.10 , pp. 75-80
    • Hammer, J.1    Newth, C.J.2
  • 44
    • 84908219488 scopus 로고
    • Statistical methods for assessing agreement between two methods of clinical measurement
    • Bland JM, Altman DG,. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-10.
    • (1986) Lancet , vol.1 , pp. 307-310
    • Bland, J.M.1    Altman, D.G.2
  • 45
    • 0023608813 scopus 로고
    • Evaluation of respiratory inductive plethysmography in infants weighing less than 1,500 grams
    • Wilkes DL, Revow M, Bryan MH, et al,. Evaluation of respiratory inductive plethysmography in infants weighing less than 1,500 grams. Am. Rev. Respir. Dis. 1987; 136: 416-19.
    • (1987) Am. Rev. Respir. Dis. , vol.136 , pp. 416-419
    • Wilkes, D.L.1    Revow, M.2    Bryan, M.H.3
  • 46
    • 0027651941 scopus 로고
    • Chest wall motion before and during mechanical ventilation in children with neuromuscular disease
    • Diaz CE, Deoras KS, Allen JL,. Chest wall motion before and during mechanical ventilation in children with neuromuscular disease. Pediatr. Pulmonol. 1993; 16: 89-95.
    • (1993) Pediatr. Pulmonol. , vol.16 , pp. 89-95
    • Diaz, C.E.1    Deoras, K.S.2    Allen, J.L.3
  • 47
    • 85027932488 scopus 로고    scopus 로고
    • Artificial intelligence models for predicting iron deficiency anemia and iron serum level based on accessible laboratory data
    • Azarkhish I, Raoufy MR, Gharibzadeh S,. Artificial intelligence models for predicting iron deficiency anemia and iron serum level based on accessible laboratory data. J. Med. Syst. 2012; 36: 2057-61.
    • (2012) J. Med. Syst. , vol.36 , pp. 2057-2061
    • Azarkhish, I.1    Raoufy, M.R.2    Gharibzadeh, S.3
  • 48
    • 0025934806 scopus 로고
    • Use of an artificial neural network for the diagnosis of myocardial infarction
    • Baxt WG,. Use of an artificial neural network for the diagnosis of myocardial infarction. Ann. Intern. Med. 1991; 115: 843-8.
    • (1991) Ann. Intern. Med. , vol.115 , pp. 843-848
    • Baxt, W.G.1
  • 49
    • 4243251068 scopus 로고
    • The use of neural networking and polynomial regression to predict the outcome in the critically ill: A comparison with APACHE II
    • Rutledge R, Fakhry S,. The use of neural networking and polynomial regression to predict the outcome in the critically ill: a comparison with APACHE II. Crit. Care Med. 1993; 21 (Suppl.): S213.
    • (1993) Crit. Care Med. , vol.21 , Issue.SUPPL.
    • Rutledge, R.1    Fakhry, S.2
  • 50
    • 0036363091 scopus 로고    scopus 로고
    • Neural network modeling to predict the hypnotic effect of propofol bolus induction
    • Lin CS, Li YC, Mok MS, et al,. Neural network modeling to predict the hypnotic effect of propofol bolus induction. Proc. AMIA Symp. 2002; 450-4.
    • (2002) Proc. AMIA Symp. , pp. 450-454
    • Lin, C.S.1    Li, Y.C.2    Mok, M.S.3
  • 51
    • 0030297904 scopus 로고    scopus 로고
    • Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
    • Tu JV,. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J. Clin. Epidemiol. 1996; 49: 1225-31.
    • (1996) J. Clin. Epidemiol. , vol.49 , pp. 1225-1231
    • Tu, J.V.1


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