Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems
نویسندگان
چکیده
In this paper, we present an RIP module with the features of supporting multiple inductive sensors, no variable frequency LC oscillator, low power consumption, and automatic gain adjustment for each channel. Based on the method of inductance measurement without using a variable frequency LC oscillator, we further integrate pulse amplitude modulation and time division multiplexing scheme into a module to support multiple RIP sensors. All inductive sensors are excited by a high-frequency electric current periodically and momentarily, and the inductance of each sensor is measured during the time when the electric current is fed to it. To improve the amplitude response of the RIP sensors, we optimize the sensing unit with a matching capacitor parallel with each RIP sensor forming a frequency selection filter. Performance tests on the linearity of the output with cross-sectional area and the accuracy of respiratory volume estimation demonstrate good linearity and accurate lung volume estimation. Power consumption of this new RIP module with two sensors is very low. The performance of respiration measurement during movement is also evaluated. This RIP module is especially desirable for wearable systems with multiple RIP sensors for long-term respiration monitoring.
منابع مشابه
Development of a Multisensory Wearable System for Monitoring Cigarette Smoking Behavior in Free-Living Conditions
This paper presents the development and validation of a novel multi-sensory wearable system (Personal Automatic Cigarette Tracker v2 or PACT2.0) for monitoring of cigarette smoking in free-living conditions. The contributions of the PACT2.0 system are: (1) the implementation of a complete sensor suite for monitoring of all major behavioral manifestations of cigarette smoking (lighting events, h...
متن کاملA Wearable Technology Revisited for Cardio-Respiratory Functional Exploration: Stroke Volume Estimation from Respiratory Inductive Plethysmography
The objective of the present study is to extract new information from complex signals generated by Respiratory Inductive Plethysmography (RIP). This indirect cardio-respiratory (CR) measure is a well-known wearable solution. We applied time-scale analysis to estimate cardiac activity from thoracic volume variations, witnesses of CR interactions. Calibrated RIP signals gathered from 4 healthy vo...
متن کاملDetection of Apneas in Infants During Sleep: A Study Comparing Thoracic Impedance and Inductive Plethysmography
Breathing disorders of different etiologies are frequent problems in neonatal intensive care, but also in hospital and outpatient treatment of small infants. Thus, there is a great need for secure and practicable assessment of infants’ respiratory movements and detection of apneas. Current measurement techniques for this purpose include piezo elements, infra red sensors, pneumatic elements, tho...
متن کاملThe Effect of Radio Waves on the Quality and Safety of Wearable Sensors in Healthcare
The industrial Internet of Things (IoT) is aiming to interconnect humans, machines, materials, processes and services in a network. Wireless Sensor Network (WSN) comprises the less power consuming, light weight and effective Sensor Nodes (SNs) for higher network performance. Radio Frequency Identification (RFID) and sensor networks are both wireless technologies that provide limitless future po...
متن کاملWireless Power Transfer for Autonomous Wearable Neurotransmitter Sensors
In this paper, we report a power management system for autonomous and real-time monitoring of the neurotransmitter L-glutamate (L-Glu). A low-power, low-noise, and high-gain recording module was designed to acquire signal from an implantable flexible L-Glu sensor fabricated by micro-electro-mechanical system (MEMS)-based processes. The wearable recording module was wirelessly powered through in...
متن کامل