Respiratory rate assessments using a dual-accelerometer device

Lapi, S.; Lavorini, Federico; Borgioli, G.; Calzolai, M.; Masotti, L.; Pistolesi, Massimo; Fontana, Giovanni

doi:10.1016/j.resp.2013.11.003

Cited by 46 publications

(32 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study is, to knowledge of the authors, the first attempt to examine bilateral asynchrony in COPD patients who accomplished an incremental inspiratory load protocol. Recently, Lapi et al [16] assessed respiratory rate in signals recorded by accelerometers positioned on opposite sides of the chest wall. They briefly reported a minimal phase shift between accelerometric and respiratory signal.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, several techniques based on conventional [11], [12] and also novel [13], [14] signal processing techniques have been suggested in order to obtain more accurate results when the respiratory signals are analyzed. In this context, several studies have employed accelerometer devices positioned at both sides of the body for the recording of the respiratory movement and extracting information about its mechanical activity [15], [16] [17]. Waisman et al [15] observed that in animal model local chest wall displacement can be used as an index for early detection of deterioration of mechanical ventilation.…”

Section: Introductionmentioning

confidence: 99%

“…Waisman et al [15] observed that in animal model local chest wall displacement can be used as an index for early detection of deterioration of mechanical ventilation. On the other hand, Lapi et al [16] analyzed the respiratory rate recorded in normal subjects and patients suffering from obesity and idiopathic scoliosis and it was concluded that the use of accelerometers can be a reliable alternative to actual technologies for monitoring of respiration-related chest wall movement. In a similar way, Sarlabous et al [17] shown that in COPD patients can be possible monitoring respiratory activity through accelerometer devices.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of bilateral asynchrony between diaphragm mechanomyographic signals in patients with Chronic Obstructive Pulmonary Disease

Estrada

Torres

Sarlabous

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

The aim of the present study was to measure bilateral asynchrony in patients suffering from Chronic Obstructive Pulmonary Disease (COPD) performing an incremental inspiratory load protocol. Bilateral asynchrony was estimated by the comparison of respiratory movements derived from diaphragm mechanomyographic (MMGdi) signals, acquired by means of capacitive accelerometers placed on left and right sides of the rib cage. Three methods were considered for asynchrony evaluation: Lissajous figure, Hilbert transform and Motto's algorithm. Bilateral asynchrony showed an increase at 20, 40 and 60% (values of normalized inspiratory pressure by their maximum value reached in the last inspiratory load) while the very severe group showed an increase at 20, 40, 80, and 100 % during the protocol. These increments in the phase's shift can be due to an increase of the inspiratory load along the protocol, and also as a consequence of distress and fatigue. In summary, this work evidenced the capability to estimate bilateral asynchrony in COPD patients. These preliminary results also showed that the use of capacitive accelerometers can be a suitable sensor for recording of respiratory movement and evaluation of asynchrony in COPD patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of bilateral asynchrony between diaphragm mechanomyographic signals in patients with Chronic Obstructive Pulmonary Disease

Estrada

Torres

Sarlabous

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

show abstract

“…19 Other study reports such as impedance pneumographic, accelerometer device-based ones, and so on simply resort to arbitrary units (AUs). 20,21 Some attempts have however been made to synchronize them with other clinical respiration measuring devices. 16 Breathing or respiratory cycle defines the time taken from the commencement of inspiration to the ending of expiration.…”

Section: The Ktc Respiration Systemmentioning

confidence: 99%

Knitted piezoresistive smart chest band and its application for respiration patterns assessment

Raji

Miao

Wan

et al. 2019

Journal of Engineered Fibers and Fabrics

View full text Add to dashboard Cite

Recognizing alterations in respiration patterns is an essential early sign not only for disease diagnoses but also for determining psychosomatic condition of the individual. The desire for measuring these parameters outside the hospital setting has led to a great interest in embedding this functionality in everyday wearable materials. This study presents an assessment of respiration patterns using a knitted piezoresistive smart chest band. A total of 20 users—Asians and Africans from 8 countries—were tested 14 times over a 67-day period. Experiments were conducted with users being under several varied test conditions including standing and sitting posture, varying physical activities, and different times in the day. Results show a successful application of the band with result patterns being in congruence with studies conducted using other related respiratory measurement technologies and instruments. Sedentary standing posture presented less signal noise compared to physical activity tests. Individuality and the repeatability of results over time suggest feasibility of the use of breath patterns as a biometric feature. Influences of ethnicity, gender, and body mass index on respiration patterns have also been discussed.

show abstract

“…During acute respiratory failure, RR is the best marker of disease severity and prognosis. It is more relevant than pulse oximetry, and when monitored, it can discriminate between different pathological conditions in respiratory disease [2], predict complications and exacerbations, assess response to treatment and anticipate occurrence of serious adverse events [3,4].…”

mentioning

confidence: 99%