Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns

被引:0
|
作者
Yokogawa, Masami [1 ]
Kurebayashi, Tomoyo [2 ]
Soma, Kazuki [3 ]
Miaki, Hiroichi [1 ]
Nakagawa, Takao [4 ]
机构
[1] Kanazawa Univ, Inst Med Pharmaceut & Hlth Sci, Fac Hlth Sci, Kanazawa, Ishikawa, Japan
[2] Higashimatsuyama Municipal Hosp, Rehabil Sect, Higashimatsuyama, Japan
[3] Kanazawa Univ, Grad Sch Med Sci, Div Hlth Sci, Kanazawa, Ishikawa, Japan
[4] Kanazawa Med Univ, Dept Phys & Rehabil Med, Kanazawa, Ishikawa, Japan
来源
关键词
Behavior; Issue; 151; Deep breathing; Natural breathing pattern; Diaphragmatic breathing pattern; Expired gas; Work of breathing; Ventilatory parameters; Video capture; EXERCISE; KINEMATICS;
D O I
10.3791/60062
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this protocol, two deep breathing patterns were shown to 15 participants to determine an easy yet effective method of breathing exercise for future application in a clinical setting. The women in their twenties were seated comfortably in a chair with back support. They were fitted with an airtight mask connected to a gas analyzer. Three electrodes were placed on the chest connected to a wireless transmitter for relaying to the electrocardiograph. They executed a 5 min rest phase, followed by 5 min of deep breathing with a natural breathing pattern, terminating with a 5 min rest phase. This was followed by a 10 min intermission before commencing the second instruction phase of substituting the natural breathing pattern with the diaphragmatic breathing pattern. Simultaneously, the following took place: a) continuous collection, measurement and analysis of the expired gas to assess the ventilatory parameters on a breath-by-breath basis; b) measurement of the heart rate by an electrocardiograph; and c) videotaping of the participant's thoracoabdominal movement from a lateral aspect. From the video capture, the investigators carried out visual observation of the fast-forward motion-images followed by classification of the breathing patterns, confirming that the participants had carried out the method of deep breathing as instructed. The amount of oxygen uptake revealed that, during deep breathing, the work of breathing decreased. The results from the expired minute ventilation, respiration rate and tidal volume confirmed increased ventilatory efficiency for deep breathing with the natural breathing pattern compared to that with the diaphragmatic breathing pattern. This protocol suggests a suitable method of instruction for assessing deep breathing exercises on the basis of oxygen consumption, ventilatory parameters, and chest wall excursion.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Identification of Breathing Patterns through EEG Signal Analysis Using Machine Learning
    Hong, Yong-Gi
    Kim, Hang-Keun
    Son, Young-Don
    Kang, Chang-Ki
    BRAIN SCIENCES, 2021, 11 (03) : 1 - 13
  • [42] Effect of paced breathing on ventilatory and cardiovascular variability parameters during short-term investigations of autonomic function
    Pinna, GD
    Maestri, R
    La Rovere, MT
    Gobbi, E
    Fanfulla, F
    AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY, 2006, 290 (01): : H424 - H433
  • [43] Predicting Successful Weaning through Sonographic Measurement of the Rapid Shallow Breathing Index
    Chung, Eunki
    Leem, Ah Young
    Lee, Su Hwan
    Kang, Young Ae
    Kim, Young Sam
    Chung, Kyung Soo
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (16)
  • [44] Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings
    Nallanthighal, Venkata Srikanth
    Mostaani, Zohreh
    Harma, Aki
    Strik, Helmer
    Magimai-Doss, Mathew
    NEURAL NETWORKS, 2021, 141 : 211 - 224
  • [45] VALIDATION OF RESPIRATORY INDUCTANCE PLETHYSMOGRAPHY (RESPITRACE(R)) FOR THE MEASUREMENT OF TIDAL BREATHING PARAMETERS IN NEWBORNS
    STICK, SM
    ELLIS, E
    LESOUEF, PN
    SLY, PD
    PEDIATRIC PULMONOLOGY, 1992, 14 (03) : 187 - 191
  • [46] Comparison of ventilatory parameters with nasal versus oral breathing during submaximal exercise in patients with cardiac disease and healthy people
    Calamai, Pietro
    Kalberer, Anja
    Huber, Sarina
    Kasermann, Dominic
    Fritsche, Annina
    Wilhelm, Matthias
    Eser, Prisca
    SWISS MEDICAL WEEKLY, 2023, 153 : 130S - 130S
  • [47] Comparison of ventilatory parameters with nasal versus oral breathing during submaximal exercise in patients with cardiac disease and healthy people
    Calamai, P.
    Kalberer, A.
    Huber, S.
    Kaesermann, D.
    Wilhelm, M.
    Eser, P.
    EUROPEAN HEART JOURNAL, 2023, 44
  • [48] Using Wearable Sensors and Deep Learning to Categorize and Detect Different Patterns of Breathing in Healthy Subjects
    Erdreich, B.
    McClure, K.
    Masquelin, A. H.
    McGinnis, R.
    Wshah, S.
    Bates, J. H.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2020, 201
  • [49] Measurement of exhaled nitric oxide in young children during tidal breathing through a facemask
    Daniel, PF
    Klug, B
    Valerius, NH
    PEDIATRIC ALLERGY AND IMMUNOLOGY, 2005, 16 (03) : 248 - 253
  • [50] RESPIRATORY INDUCTIVE PLETHYSMOGRAPHY MEASUREMENT OF BREATHING PATTERNS CREATED BY CONTROLLED MECHANICAL VENTILATION IN SEDATED PIGLETS
    WARREN, RH
    ALDERSON, SH
    CLINICAL RESEARCH, 1988, 36 (01): : A77 - A77