Quantitative and Real‐Time Evaluation of Human Respiration Signals with a Shape‐Conformal Wireless Sensing System

Abstract

Respiration signals reflect many underlying health conditions, including cardiopulmonary functions, autonomic disorders and respiratory distress, therefore continuous measurement of respiration is needed in various cases. Unfortunately, there is still a lack of effective portable electronic devices that meet the demands for medical and daily respiration monitoring. This work showcases a soft, wireless, and non‐invasive device for quantitative and real‐time evaluation of human respiration. This device simultaneously captures respiration and temperature signatures using customized capacitive and resistive sensors, encapsulated by a breathable layer, and does not limit the user's daily life. Further a machine learning‐based respiration classification algorithm with a set of carefully studied features as inputs is proposed and it is deployed into mobile clients. The body status of users, such as being quiet, active and coughing, can be accurately recognized by the algorithm and displayed on clients. Moreover, multiple devices can be linked to a server network to monitor a group of users and provide each user with the statistical duration of physiological activities, coughing alerts, and body health advice. With these devices, individual and group respiratory health status can be quantitatively collected, analyzed, and stored for daily physiological signal detections as well as medical assistance.

Miniaturized retractable thin-film sensor for wearable multifunctional respiratory monitoring

“…Since the high cost, low comfort, limited site, and inflexibility of operation of the above two methods are difficult to effectively apply to daily life and portable medical monitoring. However, the rapid growth of electronic information, wireless communication, and human-computer interaction has effectively promoted the development of wearable electronics in the medical field [11,12]. Recently, research on wearable respiratory monitoring devices has made great progress [13][14][15], which can be divided into direct and indirect monitoring.…”

Quantitative and Real‐Time Evaluation of Pressure on Brain Spatula with Wireless and Compact Sensing System

“…Converting resistive value to voltage signals can be realized by many reading circuits, including single amplifier circuit and Wheatstone bridge connections. [34,35] The collected voltage signals are processed by a 14-bit analog-to-digital converter (ADC) with high sampling rates, demonstrated in Figure 3a. To minimize the required PCB components with smaller occupied area, single amplifier circuit is applied using classic feedback connections.…”

Ultrasensitive and Wide-Range-Detectable Flexible Breath Sensor Based on Silver Vanadate Nanowires

“…Breathing monitoring that can reflect variations in sympathetic nervous system activity deriving from underlying health conditions, such as central nervous system defects as well as infarction of the medulla and cardiovascular functions, 1 is gaining increasing attention owing to its potential applications in predicting serious clinical events such as cardiac arrest, heart failure, or admission to the intensive care unit. 2,3 As a fundamental vital sign in clinical settings, breathing rate is sensitive to various pathological conditions (e.g., adverse cardiovascular events, pneumonia or bronchitis, and physiological deterioration) and stressors (e.g., cognitive load, emotional stress, environmental challenges, pain, discomfort, physical effort, and exercise-induced fatigue).…”

“…Breathing monitoring that can reflect variations in sympathetic nervous system activity deriving from underlying health conditions, such as central nervous system defects as well as infarction of the medulla and cardiovascular functions, is gaining increasing attention owing to its potential applications in predicting serious clinical events such as cardiac arrest, heart failure, or admission to the intensive care unit. , As a fundamental vital sign in clinical settings, breathing rate is sensitive to various pathological conditions (e.g., adverse cardiovascular events, pneumonia or bronchitis, and physiological deterioration) and stressors (e.g., cognitive load, emotional stress, environmental challenges, pain, discomfort, physical effort, and exercise-induced fatigue). , Automatically monitoring breathing rate and breathing pattern is important for early detection, early diagnosis, and timely treatment of dangerous conditions, such as sudden infant death syndrome, sleep apnea, chronic obstructive pulmonary disease (COPD), and postoperative respiratory depression . To meet the critical requirements, a clinical breathing monitoring system is developed that incorporates a wind-tight face mask fully covering the nose and mouth and a breathing tube connected to a signal process machine, in which the breathing waveform and breathing rate of patients can be monitored by a mechanical ventilator .…”