Feasibility Assessment of Wearable Respiratory Monitors for Ambulatory Inhalation Topography

Jayasekera, Shehan; Hensel, Edward; Robinson, Risa J

doi:10.3390/ijerph18062990

Cited by 11 publications

(9 citation statements)

References 61 publications

(65 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The influence of fatigue on autonomic cardiac control can be estimated through the dynamics of heart rate (Schmitt et al, 2015), such as heart rate variability (HRV) and heart rate complexity (HRC). These dynamics are computed from the electrocardiogram (ECG) signal obtained from wearable belts with single-lead electrodes or multi-lead stationary heart rate monitors (Billman et al, 2015); breathing rate can be measured using gas exchange systems in lab, or in-field with wearable strain sensors (Jayasekera et al, 2021). Acute fatigue can lead to a drop in the HRV metrics such as root mean square of successive differences between normal heartbeats (RMSSD) and the standard deviation of the heartbeat intervals (SDNN) when measured during exercise (Casties et al, 2006;Gronwald et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

et al. 2022

View full text Add to dashboard Cite

Understanding the influence of running-induced acute fatigue on the homeostasis of the body is essential to mitigate the adverse effects and optimize positive adaptations to training. Fatigue is a multifactorial phenomenon, which influences biomechanical, physiological, and psychological facets. This work aimed to assess the evolution of these three facets with acute fatigue during a half-marathon. 13 recreational runners were equipped with one inertial measurement unit (IMU) on each foot, one combined global navigation satellite system-IMU-electrocardiogram sensor on the chest, and an Android smartphone equipped with an audio recording application. Spatio-temporal parameters for the running gait, along with the heart rate, its variability and complexity were computed using validated algorithms. Perceived fatigability was assessed using the rating-of-fatigue (ROF) scale at every 10 min of the race. The data was split into eight equal segments, corresponding to at least one ROF value per segment, and only level running parts were retained for analysis. During the race, contact time, duty factor, and trunk anteroposterior acceleration increased, and the foot strike angle and vertical stiffness decreased significantly. Heart rate showed a progressive increase, while the metrics for heart rate variability and complexity decreased during the race. The biomechanical parameters showed a significant alteration even with a small change in perceived fatigue, whereas the heart rate dynamics altered at higher changes. When divided into two groups, the slower runners presented a higher change in heart rate dynamics throughout the race than the faster runners; they both showed similar trends for the gait parameters. When tested for linear and non-linear correlations, heart rate had the highest association with biomechanical parameters, while the trunk anteroposterior acceleration had the lowest association with heart rate dynamics. These results indicate the ability of faster runners to better judge their physiological limits and hint toward a higher sensitivity of perceived fatigue to neuromuscular changes in the running gait. This study highlights measurable influences of acute fatigue, which can be studied only through concurrent measurement of biomechanical, physiological, and psychological facets of running in real-world conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

et al. 2022

View full text Add to dashboard Cite

show abstract

“…For this, we developed a computer algorithm to: (i) pre-process the data from the Hexoskin, (ii) perform the calibration and apply it to the measured TC and AB waveforms to obtain the lung volume waveform, and (iii) derive the respiration topography. This was necessary because the Hexoskin did not come with the necessary software to obtain either lung volume or respiration topography [ 1 ]. We did not modify the Hexoskin hardware in any way for this study.…”

Section: Discussionmentioning

confidence: 99%

“…The Hexoskin has been used in a number of applications, including sports and fitness tracking [ 17 , 18 ], patient monitoring [ 19 ], and assessing obesity risk [ 20 ]. The use of the Hexoskin for ambulatory measurement of respiration topography was previously qualitatively assessed [ 1 ]. The Smart Garment is a shirt-type WRM, made from a tight form-fitting material and can be worn on its own or as an undergarment.…”

Section: Methodsmentioning

confidence: 99%

“…Limited research has been conducted to study the respiration behavior of tobacco use in the natural environment, in part due to the lack of suitable ambulatory monitoring techniques. Current commercially available Wearable Respiratory Monitors (WRM) may be leveraged to measure ambulatory respiration topography in the natural environment [ 1 ], although little research [ 2 ] has been done to utilize these devices for this application. In this paper, we demonstrate the feasibility of using one such WRM, the Hexoskin Smart Garment (Carré Technologies Inc., Montréal, PQ, Canada), to measure ambulatory respiration topography of cigarette and hookah smokers in their natural use environment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Feasibility of Using the Hexoskin Smart Garment for Natural Environment Observation of Respiration Topography

Jayasekera

Hensel

Robinson

2021

IJERPH

Self Cite

View full text Add to dashboard Cite

Background: Limited research has been done to measure ambulatory respiratory behavior, in particular those associated with tobacco use, in the natural environment due to a lack of monitoring techniques. Respiratory topography parameters provide useful information for modeling particle deposition in the lung and assessing exposure risk and health effects associated with tobacco use. Commercially available Wearable Respiratory Monitors (WRM), such as the Hexoskin Smart Garment, have embedded sensors that measure chest motion and may be adapted for measuring ambulatory lung volume. Methods: Self-reported “everyday” and “some days” Hookah and Cigarette smokers were recruited for a 3-day natural environment observation study. Participants wore the Hexoskin shirt while using their preferred tobacco product. The shirt was calibrated on them prior to, during, and after the observation period. A novel method for calculating the calibration parameters is presented. Results: NH = 5 Hookah and NC = 3 Cigarette participants were enrolled. Calibration parameters were obtained and applied to the observed chest motion waveform from each participant to obtain their lung volume waveform. Respiratory topography parameters were derived from the lung volume waveform. Conclusion: The feasibility of using the Hexoskin for measuring ambulatory respiratory topography parameters in the natural environment is demonstrated.

show abstract

“…The sensing mechanisms include resistive, piezoresistive and inductive methods. An overview of commercialized wearable sensors can be found in [9]. Generally, the implementation of wearable inductive plethysmography sensors comes in three forms.…”

Section: Introductionmentioning

confidence: 99%

Low Power Respiration Monitoring Using Wearable 3D Knitted Helical Coils

et al. 2022

View full text Add to dashboard Cite

We demonstrate a novel low power inductive wearable plethysmography system. This consists of ultrasensitive 3D knitted helical coils integrated in a garment and an oscillator circuit with high quality factor. The low power oscillator is built using two cross coupled FET pairs with low capacitance drawing only 95 A during operation and with a response time smaller than 10 s. The sensor system is linear, with negligible hysteresis. The best compromise in sensitivity and power consumption is obtained with a 3D knitted helical coil using jersey knit with elastic yarn, a lower knitting needle size than recommended for the yarn and minimizing both the number of stitches per winding as well as the stitches containing metal. A sensitivity of 2.7 kHz per mm change in circumference with a power consumption of 6.85 mW per 30 ms measurement time is reported. This system can be used for long term breathing monitoring using a garment indistinguishable from everyday clothing.

show abstract

Feasibility Assessment of Wearable Respiratory Monitors for Ambulatory Inhalation Topography

Cited by 11 publications

References 61 publications

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

Feasibility of Using the Hexoskin Smart Garment for Natural Environment Observation of Respiration Topography

Low Power Respiration Monitoring Using Wearable 3D Knitted Helical Coils

Contact Info

Product

Resources

About