Tremors quantification in parkinson patients using smartwatches

In recent times, there has been a significant growth in networks known as the wireless body area networks (WBANs). A WBAN connects distributed nodes throughout the human body, which can be placed on the skin, under the skin, or on clothing and can use the human body’s electromagnetic waves. An approach to reduce the size of different telecommunication equipment is constantly being sought; this allows these devices to be closer to the body or even glued and embedded within the skin without making the user feel uncomfortable or posing as a danger for the user. These networks promise new medical applications; however, these are always based on the freedom of movement and the comfort they offer. Among the advantages of these networks is that they can significantly increase user’s quality of life. For example, a person can carry a WBAN with built-in sensors that calculate the user’s heart rate at any given time and send these data over the internet to user’s doctor. This study provides a systematic review of WBAN, describing the applications and trends that have been developed with this type of network and, in addition, the protocols and standards that must be considered.

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“…x [21] Assesses patient vibrations to determine whether the patient suffers from Parkinson's disease (PD).…”

Section: Methodsmentioning

confidence: 99%

Wearable Wireless Body Area Networks for Medical Applications

Tavera

Ortíz²,

Khalaf

et al. 2021

Computational and Mathematical Methods in Medicine

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“…For instance, Zwartjes et al present an ambulatory monitoring system that provides a complete motor assessment of a PD patient by simultaneously analyzing motor activities and the severity of several symptoms like tremor, bradykinesia, and hypokinesia [35]. Another study in 2016 proposes to quantifying tremors in Parkinson’s patients using smartwatches [40]. Similarly, Bächlin et al propose a wearable assistant to detect FoG events during ambulatory movements [41].…”

Section: Resultsmentioning

confidence: 99%

“…proposes to quantifying tremors in Parkinson's patients using smartwatches [40]. facial expressiveness and altered emotion recognition in PD [33].…”

Section: Classification Methodologymentioning

confidence: 99%

Trends in Technology Usage for Parkinson’s Disease Assessment: A Systematic Review

Deb

Bhat

et al. 2021

Preprint

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Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor and non-motor symptoms. The complexity of PD pathology is amplified further due to its dependency on patient diaries and the neurologist's subjective assessment of clinical scales. This challenge can be addressed by the advances in mobile technology, which can enable objective, accurate, and continuous patient monitoring. Indeed, a significant amount of recent work explores new cost-effective and subjective assessment methods of PD symptoms. For example, smart technologies, such as wearable sensors, have been used to analyze a PD patients' symptoms to assess their disease progression and even to detect signs in their nascent stage for early diagnosis of PD. This review focuses on the use of modern wearable and mobile equipment for PD applications in the last decade. Four significant fields of research were identified: Assistance to Diagnosis, Prognosis or Monitoring of Symptoms and their Severity, Predicting Response to Treatment, and Assistance to Therapy or Rehabilitation. This study starts with 31,940 articles published between January 2008 and December 2019 in the following four databases: Pubmed Central, Science Direct, IEEE Xplore and MDPI. A total of 976 papers are manually investigated and included in this review after removing unrelated articles, duplicate entries, publications in languages other than English, and other articles that did not fulfill the selection criteria. Our analysis shows that the numbers of published papers every year has increased at a constant rate from 2008 to 2015, while the rate of increase has significantly grown from 2016 to 2019. Majority of the papers (62%) were published in the last four years, and 21% papers in just 2019. In terms of the symptoms, gait and tremor are two major ones that researchers have focused on. The trend shows the growing interest in assessing Parkinson's Disease with wearable devices in the last decade, particularly in the last 4 years. Our automated script makes the review easily reproducible for publications published in the future.

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“…Approximately 60,000 individuals in the United States are diagnosed with PD each year, while more than 10 million people are living with PD worldwide [ 1 , 2 ]. Many significant motor signs accompany PD, such as tremors [ 3 , 4 ], rigidity [ 5 ], bradykinesia [ 6 , 7 , 8 , 9 ], hypokinesia [ 10 ], postural instability [ 11 , 12 ], and gait difficulties [ 13 , 14 , 15 ]. While clinical diagnosis is usually based on these motor symptoms, non-motor symptoms are also common and sometimes more disabling than motor symptoms.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Survey of Research Trends in Technology Usage for Parkinson’s Disease

Deb

Bhat

et al. 2022

Sensors

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Parkinson’s disease (PD) is a neurological disorder with complicated and disabling motor and non-motor symptoms. The complexity of PD pathology is amplified due to its dependency on patient diaries and the neurologist’s subjective assessment of clinical scales. A significant amount of recent research has explored new cost-effective and subjective assessment methods pertaining to PD symptoms to address this challenge. This article analyzes the application areas and use of mobile and wearable technology in PD research using the PRISMA methodology. Based on the published papers, we identify four significant fields of research: diagnosis, prognosis and monitoring, predicting response to treatment, and rehabilitation. Between January 2008 and December 2021, 31,718 articles were published in four databases: PubMed Central, Science Direct, IEEE Xplore, and MDPI. After removing unrelated articles, duplicate entries, non-English publications, and other articles that did not fulfill the selection criteria, we manually investigated 1559 articles in this review. Most of the articles (45%) were published during a recent four-year stretch (2018–2021), and 19% of the articles were published in 2021 alone. This trend reflects the research community’s growing interest in assessing PD with wearable devices, particularly in the last four years of the period under study. We conclude that there is a substantial and steady growth in the use of mobile technology in the PD contexts. We share our automated script and the detailed results with the public, making the review reproducible for future publications.

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Tremors quantification in parkinson patients using smartwatches

Cited by 14 publications

References 17 publications

Wearable Wireless Body Area Networks for Medical Applications

Wearable Wireless Body Area Networks for Medical Applications

Trends in Technology Usage for Parkinson’s Disease Assessment: A Systematic Review

A Systematic Survey of Research Trends in Technology Usage for Parkinson’s Disease

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