A Novel Wearable Real-Time Sleep Apnea Detection System Based on the Acceleration Sensor

Yüzer, Ahmet Hayrettin; Sümbül, Harun; Polat, Kemal

doi:10.1016/j.irbm.2019.10.007

Cited by 30 publications

(21 citation statements)

References 25 publications

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“…(2) Median Filtering Method. e median filter is a typical low-pass filter proposed by Yüzer et al [15]. is technology can usually overcome the blurring of some details in the image generated by the linear filter under certain conditions and can eliminate the interference pulse well and at the same time can form a certain degree of protection for the edge of the target image [16].…”

Section: Digital Filtering Methods To Deal With Occasional Largementioning

confidence: 99%

Robotic Arm Control System Based on AI Wearable Acceleration Sensor

Chen

Zhao

2021

Mathematical Problems in Engineering

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The position of mechanical arm in people’s life is getting higher and higher. It replaces the function of human arm, moving and moving in space. Generally, the structure is composed of mechanical body, controller, servo mechanism, and sensor, and some specified actions are set to complete according to the actual production requirements. The manipulator has flexible operation, good stability, and high safety, so it is widely used in industrial automation production line. With the development of science and technology, many practical production requirements for the function of the manipulator are more and more refined, especially in the high-end research field. For example, medical devices, automobile manufacturing, deep-sea submarines, and space station maintenance put forward higher requirements for it. In terms of miniaturization and precision, it can meet the needs of scientific research and actual production. But these are inseparable from the motion control system technology. This paper mainly introduces the research of manipulator control system based on AI wearable acceleration sensor, aiming to provide some ideas and directions for the research of wearable manipulator. This paper presents the research method of manipulator control system based on AI wearable acceleration sensor, including the establishment of manipulator kinematics model, common filtering algorithm, and PI algorithm of speed control system. It is used for the research and experiment of manipulator control system based on AI wearable acceleration sensor. The experimental results show that the average matching rate of the manipulator control system based on AI wearable acceleration sensor is as high as 88.89%, and the stability of the feature descriptor is high.

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Section: Digital Filtering Methods To Deal With Occasional Largementioning

confidence: 99%

Robotic Arm Control System Based on AI Wearable Acceleration Sensor

Chen

Zhao

2021

Mathematical Problems in Engineering

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“…The accuracy of wearable real-time SA measurement system and detection algorithm based on the acceleration sensor was clinically tested in our previous study [42,43]. The contributions of this study can be summarized as follows:…”

Section: Methodsmentioning

confidence: 99%

“…The study group consists of six patients (three males (50%) and three females (50%)) with different characteristics ([mean] age, 36.3; height, 169.6 cm; and body weight, 81.4 kg). General characteristics of the study groups formed are explained in Ref [42]. The patients in the study group have sleep apnea in varying grades (mild OSA, middle OSA, and heavy OSA) and randomly selected from the hospital.…”

Section: Methodsmentioning

confidence: 99%

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A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network

Sümbül

Yüzer

Şekeroğlu

2022

Med Biol Eng Comput

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Background and objective Continuous monitoring of breathing activity plays a vital role in the detection of respiratory-based diseases (SA, COPD, etc.). Sleep Apnea (SA) is characterized by recurrent upper airway obstruction during sleep associated with arterial blood desaturation, sympathetic nervous system activation, and cardiovascular impairment. Untreated patients with SA have increased mortality rates compared to the general population. This study aims to design a remote monitoring system for sleep apnea to ensure patient safety and ease the workload of doctors in the Covid-19 era. Methods This study aims to design a remote monitoring system for sleep apnea to ensure patient safety and ease the workload of doctors. Our study focuses on a novel portable real-time low-cost sleep apnea monitoring system utilizing the GSM network (GSM Shield Sim900a). Proposed system is a remote monitoring and patient tracking system to detect the apnea event in real time, and to provide information of the sleep position, pulse, and respiratory and oxygen saturation to the medical specialists (SpO 2 ) by establishing a direct contact. As soon as an abnormal condition is detected in the light of these parameters, the condition is reported (instant or in the form of short reports after sleep) to the patient relatives, the doctor's mobile telephone or to the emergency medical centers (EMCs) through a GSM network to handle the case depending on the patient's emergency condition. Results A study group was formed of six patients for monitoring apnea events (three males and three females) between the ages of 20 and 60. The patients in the study group have sleep apnea (SA) in different grades. All the apnea events were detected, and all the patients were successfully alerted. Also, the patient parameters were successfully sent to all patient relatives. Patients who could not get out of apnea were called through the CALL feature, and they were informed about their ongoing apnea event and told that intervention was necessary. The proposed system is tested on six patients. The beginning moment of apnea was successfully detected and the SMS/CALL feature was successfully activated without delay. During the testing, it has been observed that while some of the patients start breathing after the first SMS, some others needed the second or the third SMS. According to the measurement result, the maximum breathless time is 46 s among the patients, and a SMS is sent every 15 s. In addition, in cases where the patient was breathless for a long time, the CALL feature was actively sought from the relatives of the patient and enabled him to intervene. The proposed monitoring system could be used in both clinical and home settings. Conclusions The monitoring of a patient in real time allows to intervene in any unexpected circumstances about the patient. The proposed work uses an acceleration sensor as a reliable method of the sleep apnea for monitoring and prevention. The developed device is more economical, comfortable, and convenient than existing sy...

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“…Rapid progress in the development of flexible electronics and materials has enabled the development of advanced wearable sensors for monitoring the state of the human body and the assistive robot. Some of the state-of-the-art wearable sensors can be found as e-textiles (e.g., smart garments) and e-patches (e.g., sensor patches) to monitor aspects such position and orientation of human limbs, human motion and muscle activation [54][55][56][57], heart function [58][59][60][61], brain activity, sleep apnea [62,63], Parkinson disease [64][65][66][67][68]; chemical and electrochemical sensors [69][70][71]. Examples of these sensors are shown in Figure 4.…”

Section: Wearable Sensing Technologiesmentioning

confidence: 99%

Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends

Martinez-Hernandez

Metcalfe

Assaf

et al. 2021

Sensors

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Wearable assistive robotics is an emerging technology with the potential to assist humans with sensorimotor impairments to perform daily activities. This assistance enables individuals to be physically and socially active, perform activities independently, and recover quality of life. These benefits to society have motivated the study of several robotic approaches, developing systems ranging from rigid to soft robots with single and multimodal sensing, heuristics and machine learning methods, and from manual to autonomous control for assistance of the upper and lower limbs. This type of wearable robotic technology, being in direct contact and interaction with the body, needs to comply with a variety of requirements to make the system and assistance efficient, safe and usable on a daily basis by the individual. This paper presents a brief review of the progress achieved in recent years, the current challenges and trends for the design and deployment of wearable assistive robotics including the clinical and user need, material and sensing technology, machine learning methods for perception and control, adaptability and acceptability, datasets and standards, and translation from lab to the real world.

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A Novel Wearable Real-Time Sleep Apnea Detection System Based on the Acceleration Sensor

Cited by 30 publications

References 25 publications

Robotic Arm Control System Based on AI Wearable Acceleration Sensor

Robotic Arm Control System Based on AI Wearable Acceleration Sensor

A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network

Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends

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