Qualitative and quantitative evaluation of a new wearable device for ECG and respiratory Holter monitoring

Sarmento, António; Vignati, Carlo; Paolillo, Stefania; Lombardi, Carolina; Scoccia, Alessandra; Nicoli, Flavia; Mapelli, Massimo; Leonardi, Alessandra; Ossola, Dario; Rigoni, Rudy; Agostoni, Piergiuseppe; Aliverti, Andréa

doi:10.1016/j.ijcard.2018.06.044

Cited by 30 publications

(15 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Secondly, daily respiratory recordings were not assessed because SOMNOtouch™ RESP is not designed for daily ambulatory monitoring. However in a recent study we analyzed X10X-Y devices continuously for 24 hours in 10 healthy subjects and 30 cardio respiratory patients and observed promising findings [23]. Thirdly, our patients population was unbalanced toward male subjects as expected for a study analazing consecutive patients with sleep disorders.…”

Section: Discussionmentioning

confidence: 79%

“…In a recent study from our group, we evaluated an innovative wearable device for ECG and respiratory Holter monitoring, which allows noninvasive, continuous, simultaneous, prolonged and accurate monitoring of cardiorespiratory signals [23]. However, no direct comparison with commercially available ventilation recording systems has been done yet.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validation of a new wearable device for type 3 sleep test without flowmeter

et al. 2021

Self Cite

View full text Add to dashboard Cite

Background Ventilation monitoring during sleep is performed by sleep test instrumentation that is uncomfortable for the patients due to the presence of the flowmeter. The objective of this study was to evaluate if an innovative type 3 wearable system, the X10X and X10Y, is able to correctly detect events of apnea and hypopnea and to classify the severity of sleep apnea without the use of a flowmeter. Methods 40 patients with sleep disordered breathing were analyzed by continuous and simultaneous recording of X10X and X10Y and another certified type 3 system, SOMNOtouch, used for comparison. Evaluation was performed in terms of quality of respiratory signals (scores from 1, lowest, to 5, highest), duration and classification of apneas, as well as identification and duration of hypopneas. Results 580 periods were evaluated. Mean quality assigned score was 3.37±1.42 and 3.25±1.35 for X10X and X10Y and SOMNOtouch, respectively. The agreement between the two systems was evaluated with grades 4 and 5 in 383 out of 580 cases. A high correlation (r2 = 0.921; p<0.001) was found between the AHI indexes obtained from the two systems. X10X and X10Y devices were able to correctly classify 72.3% of the obstructive apneas, 81% of the central apneas, 61.3% of the hypopneas, and 64.6% of the mixed apneas when compared to SOMNOtouch device. Conclusion The X10X and X10Y devices are able to provide a correct grading of sleep respiratory disorders without the need of a nasal cannula for respiratory flow measurement and can be considered as a type 3 sleep test device for screening tests.

show abstract

Section: Discussionmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Validation of a new wearable device for type 3 sleep test without flowmeter

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Protocols for the continuous monitoring of breathing can use either wearables (e.g., respiratory inductance plethysmography [ 9 ], resistance-based sensors or garments [ 10 , 11 ], capacitance-based sensors [ 12 ], inertial measurement units [ 13 , 14 ], fiber optic sensors [ 15 ], acoustic sensors [ 16 ], or a combination of more techniques [ 17 ]) or non-wearable devices (e.g., contactless methods [ 18 ]), however this last category is constituted by more cumbersome methods that are uncomfortable to use in daily-life settings [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Comparison between the Airgo™ Device and a Metabolic Cart during Rest and Exercise

Antonelli

Guilizzoni

Angelucci

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

The aim of this study is to compare the accuracy of Airgo™, a non-invasive wearable device that records breath, with respect to a gold standard. In 21 healthy subjects (10 males, 11 females), four parameters were recorded for four min at rest and in different positions simultaneously by Airgo™ and SensorMedics 2900 metabolic cart. Then, a cardio-pulmonary exercise test was performed using the Erg 800S cycle ergometer in order to test Airgo™’s accuracy during physical effort. The results reveal that the relative error median percentage of respiratory rate was of 0% for all positions at rest and for different exercise intensities, with interquartile ranges between 3.5 (standing position) and 22.4 (low-intensity exercise) breaths per minute. During exercise, normalized amplitude and ventilation relative error medians highlighted the presence of an error proportional to the volume to be estimated. For increasing intensity levels of exercise, Airgo™’s estimate tended to underestimate the values of the gold standard instrument. In conclusion, the Airgo™ device provides good accuracy and precision in the estimate of respiratory rate (especially at rest), an acceptable estimate of tidal volume and minute ventilation at rest and an underestimation for increasing volumes.

show abstract

“…Continuous measurement of respiratory rate can be achieved by non-intrusive wearable devices. This consists of deriving a respiratory-related signal by detecting the motion of the thoraco-abdominal surface by inductive [ 14 ], resistive [ 15 , 16 , 17 ], or capacitive sensors [ 18 ]. More recently, smart textiles embedding fiber optic sensors, namely fiber Bragg grating (FBG) sensors positioned at different body locations, have also been proposed for respiratory monitoring [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

A Wearable Device for Breathing Frequency Monitoring: A Pilot Study on Patients with Muscular Dystrophy

Cesareo

Nido

Biffi

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

Patients at risk of developing respiratory dysfunctions, such as patients with severe forms of muscular dystrophy, need a careful respiratory assessment, and periodic follow-up visits to monitor the progression of the disease. In these patients, at-home continuous monitoring of respiratory activity patterns could provide additional understanding about disease progression, allowing prompt clinical intervention. The core aim of the present study is thus to investigate the feasibility of using an innovative wearable device for respiratory monitoring, particularly breathing frequency variation assessment, in patients with muscular dystrophy. A comparison of measurements of breathing frequency with gold standard methods showed that the device based on the inertial measurement units (IMU-based device) provided optimal results in terms of accuracy errors, correlation, and agreement. Participants positively evaluated the device for ease of use, comfort, usability, and wearability. Moreover, preliminary results confirmed that breathing frequency is a valuable breathing parameter to monitor, at the clinic and at home, because it strongly correlates with the main indexes of respiratory function.

show abstract

Qualitative and quantitative evaluation of a new wearable device for ECG and respiratory Holter monitoring

Cited by 30 publications

References 9 publications

Validation of a new wearable device for type 3 sleep test without flowmeter

Validation of a new wearable device for type 3 sleep test without flowmeter

Comparison between the Airgo™ Device and a Metabolic Cart during Rest and Exercise

A Wearable Device for Breathing Frequency Monitoring: A Pilot Study on Patients with Muscular Dystrophy

Contact Info

Product

Resources

About