The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this work, a wearable instrumented smart clothes with an accelerometer sensor embedded on the upper abdomen close to the diaphragm was used to detect respiration of subjects. A detection algorithm was proposed and verified with 30 testing cases on male and female subjects separately. More than 97% of accuracy is achieved by comparing with the detection results from respiratory belt conducted simultaneously...
In this study, a model for identifying the levels of physical activity (PA) with a wrist-worn accelerometer-based device has been proposed. The levels of identified PA have been categorized into rest/sleep, sedentary, light, moderate, and vigorous activity states by analyzing the data collected from 10 normal subjects. An activity-based sleep duration detection algorithm has been proposed and implemented...
Festinating gait is one of the most commonly seen motor symptoms of Parkinson's Disease patients. In this research, an accelerometer-based sensing system implemented on a vest is used to detect the behavior of festinating gait. The detection algorithm is based on the analysis of gait symmetry from the data measured by accelerometers. Specific indices were proposed to evaluate the severity of festinating...
A standalone wireless motion sensing module, which provides total of 6 Degree-of-Freedom (DoF) motion information with a 3-axis accelerometer, is presented in this paper. It is a BLEenabled Accelerometer-based Sensing In a Chip-packaging (BASIC) module with patented CORDIC-based tilting angle transformation algorithm implemented. As the results, the device provides not only the 3-axis acceleration...
We design a low energy Bluetooth (BLE) device including reference-tag-based indoor position algorithm to solve different situations including location determining, route guideline and tracking in this study. It can not only help the visitor or patient to understand the position but also provide a system for medical staff to monitor the safety of patients and new born babies in hospital. This device...
The purpose of this study is to establish a therapeutic system that provided users to get physiological information and to cure myocardial ischemia. In this paper, we get the physiological signal with a smart cloth which can measure ECG signal in daily life and record the posture signal by a motion tracking sensor modules. There are four key technologies including Intelligent Body Sensor Technologies,...
This study describes the work of implementing tilt sensing for accelerometers into the patented companion chip architecture. The core hardware block for transforming acceleration into tilting angles is based on a patented low complexity algorithm and hence the gate count takes only a few thousands for the whole chip. The chip cannot only replace the role of an accelerometer providing acceleration...
Correct discrimination of essential tremor from Parkinson's tremor is a major problem in clinical neurology as minor differences in the tremor patterns are hard to distinguish. Mathematical analysis of tremor signals recorded non-invasively has been widely accepted for tremor differentiation. However, classification of tremor signals collected from electromyograph or accelerometer, based on time and...
Parkinson's disease is the second most common neurodegenerative disease. Tremor is an early symptom for about 70% of patients with Parkinson's disease. Accelerometers have been widely used for the detecting of the tremor signals. There were also several signal processing methods have been proposed to assess and quantify the tremor behavior of the Parkinson's disease, such as the power spectral density...
With aging society coming, there are more and more elderly people having the aging-related chronic diseases, such as Parkinson's, and Alzheimer's diseases. In this study, a time-less linear transformation method is proposed to obtain tilting angles from single axis accelerometer data. By wearing the previous designed posture monitor vest and with the proposed algorithm implemented, this wearable system...
Wearable devices are being used in an expanding range of daily life applications, automatically recording data for extraction and analysis. This paper develops a real time wearable multi-posture sensing system, using six tri-axial accelerometers to detect four frequent posture types to provide the user with realtime, longitudinal posture monitoring for therapeutic purposes.
Bed falling is an important issue to the hospital. However, it seems that using bedrail restraints or bed alarm systems cannot succeed in preventing bed falls in hospital. Moreover, the bed alarm systems are too expensive for individuals who choose to rest at home due to lack of medical care resource nowadays. In this work, we design a low cost and real-time lying-to-sit sensing system with accelerometer...
In this paper, we analyze the precision of the tilting angles transferred from a 3-axis accelerometer with the previously proposed CORDIC-based tilting angle identification algorithm. We found out two issues of the original 2D-CORDIC operations which would increase the errors of the calculated angles. Hence, we propose the solutions to further enhance the precision of tilting angles calculated in...
Following the promotion of living quality and the implementation of the national health insurance program in Taiwan, the demand of research and development for localized medical modalities has become critical. With corporation with Chang Gung Memorial Hospital, the Medical Mechatronics Research Laboratory (MMRL) in Chang Gung University has been dedicated itself to the development of pivotal technologies...
Accelerometers have been widely used for inertial sensing and applied on various medical applications. Recently, accelerometers are miniaturized using micro-electromechanical system (MEMS) technology that can be easily integrated into various body sensing system and it makes sensing of acceleration becomes simple and low cost. In this paper, we present an introductory discussion on the medical applications...
In this paper, we present a novel inclination sensing system, which is composed of an inexpensive and low power microcontroller with a 3-Axis digital accelerometer. Accelerometers have been widely used to determine the inclination or tilt angles of a system by calculating angles between gravity vector and its three axes. However, the angle calculation is so complicated that in most previous research...
In this paper, we present a low complexity and memory-less algorithm for angle calculations of a system using 3-axis accelerometers. Accelerometers have been widely used to determine the inclination or tilt of a system where the net acceleration or force on a system over time is gravity. However, the angle calculations are complicated and most of the work either implementing with look-up tables or...
Subluxation of the affected shoulder in post-stroke patients has been associated with the nerve disorder and muscle fatigue. Clinicians must be able to accurately and reliably measure inferior glenohumeral subluxation of patients in order to provide appropriate treatment. However, the quantitative glenohumeral joint (GHJ) glide and stiffness evaluation methods are still under developed. The purpose...
Torque estimation using mechanomyographic (MMG) signal is typically calculated by the root mean square (RMS) amplitude. Raw MMG signal is processed by rectification, low-pass filtering, and mapping to estimate torque. However, one-to-one mapping is not accurate because if the input is interfered by noise, the output follows directly. In this work, beside RMS amplitude, another significant feature...
The ability to control postural steadiness is an important determinant of overcoming the internal and external environmental stimulus across the falls for stoke patients. Traditionally, assessments of postural steadiness are based on patient's ability to control the angular deviation of the center of mass (COM) within the base of support. In this study, a wireless inertial-based sensing modality with...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.