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Sensor-based health monitoring system uses fingertip application
Published in Sonali Goyal, Neera Batra, N.K. Batra, An Integrated Approach to Home Security and Safety Systems, 2021
This application can be used to calculate vibrations of the chest caused by the movement of the heart. This method is easily affected by noise and gives inaccurate results most of the time. It detects heart rate without touching the body, based on Ballistocardiography (BCG) principle. Its benefit is a contactless measurement that enables continuous monitoring without disturbing the patient as shown in Figure 4.15. It is very easy to use.
Health: Human-Machine Interaction, Medical Robotics, Patient Rehabilitation
Published in Ricardo A. Ramirez-Mendoza, Jorge de J. Lozoya-Santos, Ricardo Zavala-Yoé, Luz María Alonso-Valerdi, Ruben Morales-Menendez, Belinda Carrión, Pedro Ponce Cruz, Hugo G. Gonzalez-Hernandez, Biometry, 2022
Pedro Ponce, Erick Axel Martínez-Ríos, Juana Isabel Méndez, Arturo Molina, Ricardo A Ramirez-Mendoza
There has been an interest in the literature to enhance the capabilities of non-electrical or EW to improve the quality of life of impaired users. Some of the works have focused on developing posture monitoring and correction systems. Yang et al. [280] created a posture monitoring architecture through pressure sensors that emit alerts every time the user assumes a dangerous posture position. Similar work is presented by Ahmad et al. [229], in which an array of piezoresistive sensors was designed and constructed to detect irregular sitting postures effectively. Besides, Ma et al. [317] proposed a model to analyze the sitting behavior and body swings through a cushion by employing pressure and inertial sensors. Then, this author extracted statistical information from the cushion and conveyed recommendation exercises to the user. On the other hand, Arias et al. work [33] employs an unobtrusive multi-sensory system composed of force resistive sensors, a three-axis accelerometer, ballistocardiography (BCG) sensors, and temperature and humidity sensors to prevent ulcer generation, heatstrokes and provide heart-monitoring capabilities. A similar study is presented in [39], where non-intrusive methods to measure electrocardiography (ECG), photoplethysmography (PPG), and ballistocardiograph (BCG) were integrated into a chair. The development of health monitoring devices has also picked some interest in the literature, mainly due to the heart-related like ischemic heart disease that people with restricted mobility are susceptible to acquire. For example, the study of Chow, Wang, and Chang et al. [102] shows the development of a real-time electrocardiography monitoring system with wireless transmission capabilities. Another related investigation is shown by Dong-Kyoon Han et al. [206] in which an ECG system is coupled with BCG and kinetic sensors while a subject is moving or resting in a wheelchair. This data is transmitted to a remote medical server for further processing and analysis.
Non-contact monitoring of heart rate variability using medical radar for the evaluation of dynamic changes in autonomic nervous activity during a head-up tilt test
Published in Journal of Medical Engineering & Technology, 2019
Guanghao Sun, Yosuke Tanaka, Ken Kiyono, Kenichi Hashimoto, Bonpei Takase, He Liu, Tetsuo Kirimoto, Takemi Matsui
Recently, benefiting from the advancement of electronics and computing technology, a variety of noncontact and unobtrusive biosensors has been developed for measuring cardiac signal without causing discomfort to the subjects. For example, photoplethysmography (PPG) was developed to measure vessel volume changes via optical detection in the microvascular bed of tissue; some studies indicated that PPG could be used as an alternative approach to obtain HRV [7]. A recent study demonstrated a non-contact method for computation of heart rate from basic webcam recordings of the human face [8]. Ballistocardiography is another method that is being used in measuring heart rate and HRV by detecting the body surface movements caused by blood flow in the systemic arterial tree [9]. In our previous studies, we have developed a non-contact respiratory and heart rate measuring system using medical radar for monitoring sleep stages, mental stress and for airport screening of infectious diseases [10–13]. The advantages of using microwave radar are that microwaves can be transmitted through most objects such as clothing but bounce off the human body, therefore subjects are not required to remove his/her clothing for measurement. Moreover, microwave radar can non-consciously measure heart rate and HRV from some distance, which is more suitable for use in autonomic nervous activity monitoring in situations when it is impossible to attach ECG electrodes.