Wrist movement analysis for long-term home sleep monitoring

2021 ◽  
pp. 115952
Author(s):  
Qiang Pan ◽  
Damien Brulin ◽  
Eric Campo
Keyword(s):  
Movement Analysis ◽  
Wrist Movement ◽  
Sleep Monitoring

scholarly journals Home sleep monitoring based on wrist movement data processing

2021 ◽  
Vol 183 ◽  
pp. 696-705
Author(s):  
Qiang Pan ◽  
Damien Brulin ◽  
Eric Campo
Keyword(s):  
Data Processing ◽  
Wrist Movement ◽  
Sleep Monitoring ◽  
Movement Data

Static and dynamic postural control in long-term microgravity: evidence of a dual adaptation

2001 ◽  
Vol 90 (1) ◽  
pp. 205-215 ◽  
Author(s):  
Guido Baroni ◽  
Alessandra Pedrocchi ◽  
Giancarlo Ferrigno ◽  
Jean Massion ◽  
Antonio Pedotti
Keyword(s):  
Postural Control ◽  
Time Course ◽  
Center Of Mass ◽  
Three Dimensional ◽  
Principal Component ◽  
Movement Analysis ◽  
Trunk Flexion ◽  
Dynamic Movement ◽  
Static Body

The adaptation of dynamic movement-posture coordination during forward trunk bending was investigated in long-term weightlessness. Three-dimensional movement analysis was carried out in two astronauts during a 4-mo microgravity exposure. The principal component analysis was applied to joint-angle kinematics for the assessment of angular synergies. The anteroposterior center of mass (CM) displacement accompanying trunk flexion was also quantified. The results reveal that subjects kept typically terrestrial strategies of movement-posture coordination. The temporary disruption of joint-angular synergies observed at subjects' first in-flight session was promptly recovered when repetitive sessions in flight were analyzed. The CM anteroposterior shift was consistently <3–4 cm, suggesting that subjects could dynamically control the CM position throughout the whole flight. This is in contrast to the observed profound microgravity-induced disruption of the quasi-static body orientation and initial CM positioning. Although this study was based on only two subjects, evidence is provided that static and dynamic postural control might be under two separate mechanisms, adapting with their specific time course to the constraints of microgravity.

scholarly journals Evaluation of a Commercial Ballistocardiography Sensor for Sleep Apnea Screening and Sleep Monitoring

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2133 ◽  
Author(s):  
Dorien Huysmans ◽  
Pascal Borzée ◽  
Dries Testelmans ◽  
Bertien Buyse ◽  
Tim Willemen ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Sleep Monitoring ◽  
Optimal Position ◽  
Different Types ◽  
Severity Class ◽  
Screening Sensitivity ◽  
Modal Systems ◽  
Technological Momentum ◽  
Synchronization Procedure

There exists a technological momentum towards the development of unobtrusive, simple, and reliable systems for long-term sleep monitoring. An off-the-shelf commercial pressure sensor meeting these requirements is the Emfit QS. First, the potential for sleep apnea screening was investigated by revealing clusters of contaminated and clean segments. A relationship between the irregularity of the data and the sleep apnea severity class was observed, which was valuable for screening (sensitivity 0.72, specificity 0.70), although the linear relation was limited ( R 2 of 0.16). Secondly, the study explored the suitability of this commercial sensor to be merged with gold standard polysomnography data for future sleep monitoring. As polysomnography (PSG) and Emfit signals originate from different types of sensor modalities, they cannot be regarded as strictly coupled. Therefore, an automated synchronization procedure based on artefact patterns was developed. Additionally, the optimal position of the Emfit for capturing respiratory and cardiac information similar to the PSG was identified, resulting in a position as close as possible to the thorax. The proposed approach demonstrated the potential for unobtrusive screening of sleep apnea patients at home. Furthermore, the synchronization framework enabled supervised analysis of the commercial Emfit sensor for future sleep monitoring, which can be extended to other multi-modal systems that record movements during sleep.

scholarly journals Accurate whole-night sleep monitoring with dry-contact ear-EEG

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kaare B. Mikkelsen ◽  
Yousef R. Tabar ◽  
Simon L. Kappel ◽  
Christian B. Christensen ◽  
Hans O. Toft ◽  
...  
Keyword(s):  
High Performance ◽  
Well Being ◽  
Extensive Study ◽  
Sleep Monitoring ◽  
The Road ◽  
Scalp Eeg ◽  
Dry Contact ◽  
Negative Effect ◽  
On The Road

AbstractSleep is a key phenomenon to both understanding, diagnosing and treatment of many illnesses, as well as for studying health and well being in general. Today, the only widely accepted method for clinically monitoring sleep is the polysomnography (PSG), which is, however, both expensive to perform and influences the sleep. This has led to investigations into light weight electroencephalography (EEG) alternatives. However, there has been a substantial performance gap between proposed alternatives and PSG. Here we show results from an extensive study of 80 full night recordings of healthy participants wearing both PSG equipment and ear-EEG. We obtain automatic sleep scoring with an accuracy close to that achieved by manual scoring of scalp EEG (the current gold standard), using only ear-EEG as input, attaining an average Cohen’s kappa of 0.73. In addition, this high performance is present for all 20 subjects. Finally, 19/20 subjects found that the ear-EEG had little to no negative effect on their sleep, and subjects were generally able to apply the equipment without supervision. This finding marks a turning point on the road to clinical long term sleep monitoring: the question should no longer be whether ear-EEG could ever be used for clinical home sleep monitoring, but rather when it will be.

scholarly journals AJILE12: Long-term naturalistic human intracranial neural recordings and pose

2021 ◽  
Author(s):  
Steven M Peterson ◽  
Satpreet H Singh ◽  
Benjamin Dichter ◽  
Michael Scheid ◽  
Rajesh P. N. Rao ◽  
...  
Keyword(s):  
Human Movement ◽  
Upper Body ◽  
Neural Basis ◽  
Wrist Movement ◽  
Neural Recordings ◽  
Video Frames ◽  
Neuroscience Research ◽  
Human Participants ◽  
Epilepsy Monitoring

Understanding the neural basis of human movement in naturalistic scenarios is critical for expanding neuroscience research beyond constrained laboratory paradigms. Here, we describe our Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) dataset, the largest human neurobehavioral dataset that is publicly available; the dataset was recorded opportunistically during passive clinical epilepsy monitoring. AJILE12 includes synchronized intracranial neural recordings and upper body pose trajectories across 55 semi-continuous days of naturalistic movements, along with relevant metadata, including thousands of wrist movement events and annotated behavioral states. Neural recordings are available at 500 Hz from at least 64 electrodes per participant, for a total of 1280 hours. Pose trajectories at 9 upper-body keypoints were estimated from 118 million video frames. To facilitate data exploration and reuse, we have shared AJILE12 on The DANDI Archive in the Neurodata Without Borders (NWB) data standard and developed a browser-based dashboard.

Long-Term Results of Swanson Silastic Arthroplasty in the Rheumatoid Wrist

1993 ◽  
Vol 18 (3) ◽  
pp. 381-388 ◽  
Author(s):  
J. K. STANLEY ◽  
A. R. TOLAT
Keyword(s):  
Long Term Results ◽  
Fracture Rate ◽  
New Bone Formation ◽  
Wrist Movement ◽  
Carpal Collapse ◽  
Limited Mobility ◽  
Long Term Follow Up ◽  
Quiescent Disease

We report a long-term follow-up of 6 to 11.8 years (mean = 8 years) of our first 50 Swanson wrist arthroplasties. All patients had long standing sero-positive rheumatoid arthritis with a mean age of 48 years. A detailed clinical and radiologic assessment was carried out on all the wrists. There was excellent sustained pain relief (mean score = 1.7) with improved activities of daily living. A mean range of wrist movement of 25° of extension and 31° of flexion was obtained. The prosthetic fracture rate was 22% of which 14% were symptomatic and needed re-operation. Carpal collapse was seen in all wrists, but was often symmetrical and accompanied by radial new bone formation on X-ray (86%). We feel that our long-term results justify the continued selective use of the Swanson wrist in the low-demand patient with quiescent disease who desires pain-free limited mobility and sophisticated grasp.

scholarly journals Ubi-SleepNet

2021 ◽  
Vol 5 (4) ◽  
pp. 1-33
Author(s):  
Bing Zhai ◽  
Yu Guan ◽  
Michael Catt ◽  
Thomas Plötz
Keyword(s):  
Rem Sleep ◽  
Large Scale ◽  
Sleep Stage ◽  
Sleep Monitoring ◽  
Ubiquitous Sensing ◽  
Fusion Methods ◽  
Practical Tool ◽  
Research Grade ◽  
Open Question

Sleep is a fundamental physiological process that is essential for sustaining a healthy body and mind. The gold standard for clinical sleep monitoring is polysomnography(PSG), based on which sleep can be categorized into five stages, including wake/rapid eye movement sleep (REM sleep)/Non-REM sleep 1 (N1)/Non-REM sleep 2 (N2)/Non-REM sleep 3 (N3). However, PSG is expensive, burdensome and not suitable for daily use. For long-term sleep monitoring, ubiquitous sensing may be a solution. Most recently, cardiac and movement sensing has become popular in classifying three-stage sleep, since both modalities can be easily acquired from research-grade or consumer-grade devices (e.g., Apple Watch). However, how best to fuse the data for greatest accuracy remains an open question. In this work, we comprehensively studied deep learning (DL)-based advanced fusion techniques consisting of three fusion strategies alongside three fusion methods for three-stage sleep classification based on two publicly available datasets. Experimental results demonstrate important evidences that three-stage sleep can be reliably classified by fusing cardiac/movement sensing modalities, which may potentially become a practical tool to conduct large-scale sleep stage assessment studies or long-term self-tracking on sleep. To accelerate the progression of sleep research in the ubiquitous/wearable computing community, we made this project open source, and the code can be found at: https://github.com/bzhai/Ubi-SleepNet.

scholarly journals Automating sleep stage classification using wireless, wearable sensors

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Alexander J. Boe ◽  
Lori L. McGee Koch ◽  
Megan K. O’Brien ◽  
Nicholas Shawen ◽  
John A. Rogers ◽  
...  
Keyword(s):  
High Resolution ◽  
Sleep Stage ◽  
Low Cost ◽  
Wearable Sensors ◽  
Sleep Stages ◽  
Sleep Monitoring ◽  
Promising Alternative ◽  
High Resolution Data ◽  
Sleep Stage Classification

AbstractPolysomnography (PSG) is the current gold standard in high-resolution sleep monitoring; however, this method is obtrusive, expensive, and time-consuming. Conversely, commercially available wrist monitors such as ActiWatch can monitor sleep for multiple days and at low cost, but often overestimate sleep and cannot differentiate between sleep stages, such as rapid eye movement (REM) and non-REM. Wireless wearable sensors are a promising alternative for their portability and access to high-resolution data for customizable analytics. We present a multimodal sensor system measuring hand acceleration, electrocardiography, and distal skin temperature that outperforms the ActiWatch, detecting wake and sleep with a recall of 74.4% and 90.0%, respectively, as well as wake, non-REM, and REM with recall of 73.3%, 59.0%, and 56.0%, respectively. This approach will enable clinicians and researchers to more easily, accurately, and inexpensively assess long-term sleep patterns, diagnose sleep disorders, and monitor risk factors for disease in both laboratory and home settings.

scholarly journals Long-term sero-positivity for IgG, sequelae of respiratory symptoms, and abundance of malformed sperms in a patient recovered from severe COVID-19

2021 ◽  
Author(s):  
Mingchao Zhu ◽  
Diliang Chen ◽  
Ya Zhu ◽  
Xusheng Xiong ◽  
Yan Ding ◽  
...  
Keyword(s):  
Sperm Morphology ◽  
Sleep Monitoring ◽  
Respiratory Problems ◽  
Abnormal Sperm ◽  
Airway Function ◽  
Long Time ◽  
Hypopnea Syndrome ◽  
Monitoring Report

AbstractPatients with severe coronavirus disease in 2019 (COVID-19 pneumonia) may have many sequelae, which seriously affect their quality of life and work. Here, we report a case of infection in China, reviewed the course, treatment, and rehabilitation of a patient suffering from severe COVID-19 pneumonia, and collected his examination reports, including chest CT, laboratory examination results, lung function examination, sleep monitoring report, sex hormones, sperm morphology and activity. The patient’s antiviral immunoglobulin G (IgG) continued to be positive for more than 11 months, and his small airway function was abnormal, and he suffered from respiratory problems (cough, chest pain, chest tightness, and shortness of breath), unstructured sleep apnea hypopnea syndrome, and nocturnal sleep hypoxemia. His abnormal sperm rate increased obviously, and sperm activity decreased obviously. Patients with severe COVID-19 pneumonia may have respiratory sequela, the abnormal sperm rate is obviously increased, and IgG positive can last for a long time.

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