Suitability of VVC and HEVC for Video Telehealth Systems

Usman, Muhammad Arslan; Usman, Muhammad Rehan; Mcphilips, Bernie; Romeika, Christopher; Cunliffe, Daniel; Politis, Christos; Philip, Nada

doi:10.32604/cmc.2021.014614

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Internet connectivity can be improved with the adoption of 5G technology, which offers higher bandwidth and lower latency [ 95 ]. Additionally, newer video compressing formats (Versatile Video Coding, VVC or H.266) have outperformed older standards in terms of compression efficiency and promise to deliver higher video quality with lower data usage [ 96 ]. As this trend of technological developments continues, the gap between in-person visits and telemedicine is expected to keep diminishing.…”

Section: Discussion and Future Directionsmentioning

confidence: 99%

Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders

Angelopoulou,

Koros,

Stanitsa

et al. 2024

Medicina

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Patients with movement disorders such as Parkinson’s disease (PD) living in remote and underserved areas often have limited access to specialized healthcare, while the feasibility and reliability of the video-based examination remains unclear. The aim of this narrative review is to examine which parts of remote neurological assessment are feasible and reliable in movement disorders. Clinical studies have demonstrated that most parts of the video-based neurological examination are feasible, even in the absence of a third party, including stance and gait—if an assistive device is not required—bradykinesia, tremor, dystonia, some ocular mobility parts, coordination, and gross muscle power and sensation assessment. Technical issues (video quality, internet connection, camera placement) might affect bradykinesia and tremor evaluation, especially in mild cases, possibly due to their rhythmic nature. Rigidity, postural instability and deep tendon reflexes cannot be remotely performed unless a trained healthcare professional is present. A modified version of incomplete Unified Parkinson’s Disease Rating Scale (UPDRS)-III and a related equation lacking rigidity and pull testing items can reliably predict total UPDRS-III. UPDRS-II, -IV, Timed “Up and Go”, and non-motor and quality of life scales can be administered remotely, while the remote Movement Disorder Society (MDS)-UPDRS-III requires further investigation. In conclusion, most parts of neurological examination can be performed virtually in PD, except for rigidity and postural instability, while technical issues might affect the assessment of mild bradykinesia and tremor. The combined use of wearable devices may at least partially compensate for these challenges in the future.

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Section: Discussion and Future Directionsmentioning

confidence: 99%

Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders

Angelopoulou,

Koros,

Stanitsa

et al. 2024

Medicina

View full text Add to dashboard Cite

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“…The low-power wide-area network applications such as safety monitoring, smart metering, smart lighting, asset monitoring and tracking, and precision agriculture typically require a data rate of less than 100 kbps 10 . While the WSN applications such as cognitive surveillance, video streaming, and telemedicine usually require a data rate up to 4.5 Mbps 11 and minimal latency. The constraints on power consumption and area comes from a wide set of applications in WSNs including biomedical implants, remote sensing, and surveillance 12 .…”

Section: Introductionmentioning

confidence: 99%

Ultra-low power, high-data rate, fully on-chip radio frequency on-off keying receiver for internet-of-things applications

Boora,

Thangarasu,

Yeo

2024

Commun Eng

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Despite the enormous potential of energy-efficient receivers for wireless sensor networks, the large power consumption or limited data rate support impedes its extensive applications. Here, we present an energy-efficient, ultra-low power, higher data rate supporting, completely on-chip radio-frequency receiver frontend for on-off keying modulated signals in the 2.4 GHz industrial, scientific, and medical band. This compact-sized receiver is achieved by implementing temperature-resilient oscillator, pseudo-differential mixer, and a wideband detector while avoiding bulky external components such as bulk-acoustic wave resonators, crystal oscillators. Measurement results demonstrate that the proposed on-off keying receiver can decode low power level radio-frequency signals up to 5 Mbps data rate while consuming only 178 µW power. This work also demonstrates support for lower data rates at reduced power. Since the proposed receiver operates in different power modes, it can be integrated in diverse applications including internet-of-things devices and continuously monitoring biomedical/wearable implants.

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Deep learning-based video quality enhancement for the new versatile video coding

Bouaafia

Khemiri

Messaoud

et al. 2021

Neural Comput & Applic

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Multimedia IoT (M-IoT) is an emerging type of Internet of things (IoT) relaying multimedia data (images, videos, audio and speech, etc.). The rapid growth of M-IoT devices enables the creation of a massive volume of multimedia data with different characteristics and requirements. With the development of artificial intelligence (AI), AI-based multimedia IoT systems have been recently designed and deployed for various video-based services for contemporary daily life, like video surveillance with high definition (HD) and ultra-high definition (UHD) and mobile multimedia streaming. These new services need higher video quality in order to meet the quality of experience (QoE) required by the users. Versatile video coding (VVC) is the new video coding standard that achieves significant coding efficiency over its predecessor high-efficiency video coding (HEVC). Moreover, VVC can achieve up to 30% BD rate savings compared to HEVC. Inspired by the rapid advancements in deep learning, we propose in this paper a wide-activated squeeze-and-excitation deep convolutional neural network (WSE-DCNN) technique-based video quality enhancement for VVC. Therefore, we replace the conventional in-loop filtering in VVC by the proposed WSE-DCNN model that eliminates the compression artifacts in order to improve visual quality and hence increase the end user QoE. The obtained results prove that the proposed in-loop filtering technique achieves %, %, and % BD rate reduction for luma and both chroma components under random access configuration. Compared to the traditional CNN-based filtering approaches, the proposed WSE-DCNN-based in-loop filtering framework achieves efficient performance in terms of RD cost.

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Suitability of VVC and HEVC for Video Telehealth Systems

Cited by 4 publications

References 19 publications

Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders

Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders

Ultra-low power, high-data rate, fully on-chip radio frequency on-off keying receiver for internet-of-things applications

Deep learning-based video quality enhancement for the new versatile video coding

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