Wearable Posture Monitoring Sensor (original) (raw)

Wireless wearable t-shirt for posture monitoring during rehabilitation exercises

The monitoring of any human physiological parameters during rehabilitation exercises requires noninvasive sensors for the patient. This paper describes a wireless wearable T-shirt for posture monitoring during rehabilitation or reinforcement exercises. The subject posture is measured through a sensorized T-shirt using an inductive sensor sewn directly on the fabric. The wireless wearable T-shirt design specifications are the following: independence from the remote unit, easy to use, lightweight and comfort of wearing. This paper reports the conceptual framework, the fabricated device description, and the adopted experimental setup. The instrumented T-shirt's output data are compared with the data obtained via an optical system, as a gold standard, that measures the marker positions over the patient's back and chest. The trials performed on four subjects obtained on different days demonstrate that the wireless wearable sensor described in this paper is capable of producing reliable data compared with the data obtained with the optical system. The constitutive sensor simplicity that includes only a copper wire and a separable circuit board allows achieving the objectives of simplicity, ease of use, and noninvasiveness. The sensorized T-shirt, integrated with designed conditioning and transmission electronics for remote communication, could be used as a support tool for postural monitoring during rehabilitation exercises.

Smart vest for posture monitoring in rehabilitation exercises

2012 IEEE Sensors Applications Symposium, SAS 2012 - Proceedings, 2012

Rehabilitation at home has many advantages, both in terms of increased efficiency of health service and comfort for the patient. The monitoring of any human physiological parameters in home environment has the primary need to be non-invasive for the patient and at the same time motivating. This paper describes a wearable system for monitoring physiological posture during rehabilitation exercises to the spine in patients with mild scoliosis. The system can measure the posture of the subject through a sensorized T-shirt, which uses an inductive sensor. This article reports the conceptual framework and the description of the first fabricated device. The preliminary experimental results are reported and compared with the results obtained via an optical system that measures the position of markers over the patient's back. The instrumented T-shirt, integrated with an appropriate conditioning and transmission electronics, could be used as a remote support tool and as a feedback system for the identification of the patient's correct posture.

Multi-parameters wireless shirt for physiological monitoring

MeMeA 2011 - 2011 IEEE International Symposium on Medical Measurements and Applications, Proceedings, 2011

The ability to monitor the health status of elderly patients or patients undergoing home therapy allows significant advantages in terms of cost and convenience of the subject. However, these non-clinical applications of biomedical signals acquisition require different monitoring devices having, between the other characteristics, reduced size, low power and environment compatibility. The research activity concerns the development of a new wearable device that can monitor the main physiological parameters of a person in a non-invasive manner. All sensors have contactless characteristics that permit to avoid the direct contact with the skin. This system is a useful solution for monitoring the health condition of patients at home. The wearable monitoring system consists of two subsystems: first, a wearable data acquisition hardware, in which the sensors are integrated for the acquisition of biomedical parameters, and secondly, a remote monitoring station located separately and connected to the Internet for telemedicine applications. The physiological parameters that are monitored are electrocardiogram (ECG), heart rate (HR), derived from ECG signals through the determination of RR intervals, respiratory rate, and threeaxis motion (acceleration and position) of the subject measured using an accelerometer. All sensors are designed using contactless measurement techniques, thus avoiding the use of gel for the conduction of the signal and possible skin irritation due to contact. The electrodes for measuring ECG signal are capacitive, while the measure of respiration is obtained by plethysmography, which does not require direct contact with skin. In order to design and construct the signal acquisition circuits in an efficient and simple manner, modular design concept is adopted in this research. The flexible signal conditioning modules are designed and assembled together. The human parameters can be recorded and analyzed continuously during work activities at home. The correct evaluation of these parameters allows the medical staff to assess to the state of health, to know accidental injury or other danger occurred in patients at home.

Development of a Wireless and Ambulatory Posture Monitoring System

2020

The wireless and ambulatory posture monitoring system monitors the movement and posture change of the human body with respect to the g-line. It is crucial to monitor the posture health of the ophthalmologist who spends a prolonged period on the static sitting posture while operating on the slit lamp which leads to any painful experience. The motivation of the proposed system is to improve the ergonomics of the ophthalmologist on their working environment and reduce any occupational potential hazard which may prompt Work-Related Musculoskeletal Disorders (WMSDs). The proposed system also induced a wireless system by using XBee wireless units to reduce the use of the wire that may tangle on the study subject which causes any uncomfortable experience to the study subject during the human trial. Inertial Measurement Unit (IMU) sensor which consists of an Accelerometer, a Gyroscope and a Magnetometer is used to measure the angle of deviation of the body segment with respect to the g-line...

Instrumented wearable belt for wireless health monitoring

Procedia Engineering, 2010

The ability to monitor the health status of elderly patients or patients undergoing therapy at home enables significant advantages in terms of both cost and comfort of the subject. However, such non-clinical applications of biomedical signal monitoring require various improvements not only in terms of size and comfort of the acquisition systems, but also in terms of their power dissipation. The research activity is concerned with the development of a novel wearable biomedical signal sensor device for monitoring health conditions at home. The wearable monitoring system consists of two subsystems: firstly, a wearable data acquisition hardware, where the sensors for acquiring the biomedical parameters are integrated, and secondly, a remote monitoring station placed separately and connected to internet for telemedicine applications. The physiological parameters that are monitored with the proposed instrumented wearable belt are electrocardiogram (ECG), heart rate (HR) derived from ECG signals by determining the R-R intervals, body temperature, respiratory rate, and three axis movement (acceleration and position) of the subject measured using an accelerometer. In order to design and construct the signal acquisition circuits efficiently and simply, modular design concept is adopted in this research. Three basic high quality and flexible modules for signal conditioning are designed and assembled together for satisfying each sensor. Human biomedical parameters can be registered and analyzed continuously during home work activities. Proper evaluation of those parameters would let immediately know about sudden health state changes, accidental injury or another menacing danger befalling patients at home.

Wireless Monitoring of Heart Rate and Electromyographic Signals using a Smart T-shirt

… on Wearable, Micro …, 2008

We have developed a prototype T-shirt with integrated electrodes for wireless monitoring of heart rate and muscular activity. Monitoring of heart rate is insensitive to the actual placement of the textile sensors by recording ECG from many positions of the trunk: This approach reduces the risk of data loss due to problems in a single channel. A multi-channel heartbeat detector was developed, which is robust to disturbed or even missing ECG-signal in single channels. For recording of electromyographic signals, our current intermediary solution is to use a padded structure above the trapezius muscle housing commercially available dry electrodes. By extra padding over the electrode site, the positions of the electrode are more well-defined and local sweat production is stimulated which enhance the recording conditions. The T-shirt has a specially designed textile electrode system for flexible integration in clothing. Further improvements are needed, but our intention is that our textile T-shirt soon will be available to the research community. In addition to personal health monitoring, the system would allow long-term monitoring of trapezius muscle activity and heart rate variability, indicating psychological stress, which is of high interest in studies of musculoskeletal disorders of the neck and shoulder.

A review of wearable sensors and systems with application in rehabilitation

Journal of NeuroEngineering and Rehabilitation, 2012

The aim of this review paper is to summarize recent developments in the field of wearable sensors and systems that are relevant to the field of rehabilitation. The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the emphasis of this review paper on summarizing clinical applications of wearable technology currently undergoing assessment rather than describing the development of new wearable sensors and systems. A short description of key enabling technologies (i.e. sensor technology, communication technology, and data analysis techniques) that have allowed researchers to implement wearable systems is followed by a detailed description of major areas of application of wearable technology. Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders. The integration of wearable and ambient sensors is discussed in the context of achieving home monitoring of older adults and subjects with chronic conditions. Future work required to advance the field toward clinical deployment of wearable sensors and systems is discussed.

Design of a Wearable Sensing System for Human Motion Monitoring in Physical Rehabilitation

Sensors, 2013

Human motion monitoring and analysis can be an essential part of a wide spectrum of applications, including physical rehabilitation among other potential areas of interest. Creating non-invasive systems for monitoring patients while performing rehabilitation exercises, to provide them with an objective feedback, is one of the current challenges. In this paper we present a wearable multi-sensor system for human motion monitoring, which has been developed for use in rehabilitation. It is composed of a number of small modules that embed high-precision accelerometers and wireless communications to transmit the information related to the body motion to an acquisition device. The results of a set of experiments we made to assess its performance in real-world setups demonstrate its usefulness in human motion acquisition and tracking, as required, for example, in activity recognition, physical/athletic performance evaluation and rehabilitation.

A Novel Wearable for Rehabilitation Using Infrared Sensors: A Preliminary Investigation

In this paper we outline a novel design of a wireless sensor wearable band for tracking patient movements. This technology and design has potential applications for rehabilitation of stroke survivors who suffer from spasticity in their upper extremities. This technology could be used to track patient movement performed in a non-clinical environment, such as inside the comfort of their home. Data on their treatment progress could be transmitted wirelessly both to the clinician and to the patient. This technology could help realize increased monitoring of the patient, quantitative data on patient improvement over time and decreased health care costs. In this paper we demonstrated a preliminary prototype which can track and distinguish classes of movement of a user performing elbow flexion exercises while seated at a table. A study was completed with 6 participants with classification accuracies up to 88%.