Home Control Research Articles

Research on indoor thermal sensation variation and cross-subject recognition based on electroencephalogram signals

The accurate identification of the environmental assessment by occupants is an important factor in the smart home control system. To identify the neural characteristics associated with thermal sensation, this study conducted environments in five distinct thermal conditions based on predicted mean vote (PMV) values. When subjects perceived different thermal environments, the channels in alpha bands were obviously activated more than others, and Brodmann areas (BA) 9/21/22/44/45 were inferred to be involved in processing thermal sensation stimuli. Based on the neural signatures, the related brain activity mechanism was deduced. To improve the recognition accuracy of EEG and the applicability of deep learning frameworks, phase–amplitude coupling (PAC) was applied, and a new multi-layer PAC feature structure for cross-subject classification was proposed for the first time. The PAC features demonstrated significant differences under different thermal sensations, and the new feature structure, extracted from the significant area on the alpha band, achieved an accuracy of 92.0% when applied to LSTM networks, outperforming other feature structures. The findings offer valuable insights into the underlying mechanisms of thermal sensation by discussing the key frequency bands and brain regions that play a critical role, as well as the potential of PAC features. These advancements contribute to the practical application of EEG-based cross-subject thermal sensation classification in various domains, including but not limited to smart homes and healthcare.

Asuhan Keperawatan Maternitas pada Pasien dengan Abortus Inkomplit di Ruang Safa Rumah Sakit Aisyiyah Pariaman

Abortion is the termination of a pregnancy before 20 weeks of age and can also occur at 12 weeks of gestation or when the fetus weighs less than 500 grams. According to the World Health Organization (WHO), the incidence of abortion in Indonesia is the highest among other Southeast Asian countries, namely 2 million out of 4.2 million people. Incomplete abortion, that is, only part of the conception is removed, what remains is the decidua or placenta. Initially there is bleeding in the decidua basalis, followed by necrosis of the surrounding tissue, then part or all of the products of conception are released. Other complications of incomplete abortion are infection, perforation, and shock. The purpose of this study was to provide nursing care for patients with incomplete abortion in the couch room at Aisyiyah Pariaman Hospital. The research used a descriptive approach in the form of a case study to find out the problem of nursing care in patients with incomplete abortions in the couch room of Aisyiyah Pariaman Hospital with one patient. This research was conducted on 20-24 February 2023, The results of the study after the study found 3 diagnoses, namely: Anxiety related to situational crises,Riskfor hypovolemia related to active fluid lossand Acute pain related to physiological injury,. During the 5 days of the study the patient went home with thesuggestion that the patient could carry out home care and control according to the recommendations from the hospital.

An IoT-Based Multimodal Real-Time Home Control System for the Physically Challenged: Design and Implementation

Physical impairments affect a significant proportion of the global populace, emphasizing the need for assistive technologies to increase the ability of these individuals to perform daily activities autonomously. This study discusses the development and implementation of a multimodal home control system, designed to afford physically challenged individuals greater control over their home environments. This system utilizes the Internet of Things (IoT) for its functionality. The system is primarily based on the utilization of the Amazon Alexa Echo Dot, which facilitates speech-based control, and a sequential clap recognition system, both made possible through an internet connection. These methods are further supplemented by an additional manual switching option, thereby ensuring a diverse range of control methods. The processing core of this system consists of an Arduino Uno and an ESP32 Devkit module. In conjunction with these, a sound detector is employed to discern and process a variety of clap patterns, which is set to function at a predefined threshold. The Amazon Alexa Echo Dot serves as the primary interface for voice commands and real-time information retrieval. Furthermore, an Android smartphone, equipped with the Alexa application, provides alternate interfaces for appliance control, through both soft buttons and voice commands. Based on an analysis of this system, it is suggested that it is not only viable but also effective. Key attributes of the system include rapid response times, aesthetic appeal, secure operation, low energy consumption, and most importantly, increased accessibility for physically disabled individuals.

An Insight into the Wearable Technologies Based on Novel Hybrid Piezoelectric‐Triboelectric Nanogenerators

Hybrid piezoelectric‐triboelectric nanogenerators (HPTNGs) are a new energy storage device that combines the benefits of both technologies. This technology can revolutionize energy storage and bring down solar and renewable costs. HPTNGs are becoming increasingly popular in the wearable technology market due to their unique characteristics. HPTNGs feature hybrid piezoelectric and triboelectric modes, allowing them to generate electricity from low voltage and sound waves. This combination gives them a higher performance than either type of generator, making them ideal for applications such as mobile banking, health monitoring, and smart home control. This article begins with a discussion on the structural configuration of hybrid HPTNGs, followed by describing their coupling effect and applications in wearable technology. Furthermore, it also focuses on the challenges, possible solutions, and prospects of this device in the wearable industry.

Feasibility of Telerehabilitation-Based Pelvic Floor Muscle Training for Urinary Incontinence in People With Multiple Sclerosis: A Randomized, Controlled, Assessor-Blinded Study.

Urinary incontinence is a common symptom in people with multiple sclerosis. The primary aim was to investigate feasibility of telerehabilitation-based pelvic floor muscle training (Tele-PFMT) and compare its effects on leakage episodes and pad usage with home exercise-based pelvic floor muscle training (Home-PFMT) and control groups. Forty-five people with multiple sclerosis with urinary incontinence were randomized into 3 groups. Tele-PFMT and Home-PFMT groups followed the same protocol for 8 weeks, but Tele-PFMT performed exercises 2 sessions/week under a physiotherapist's supervision. The control group did not receive any specific treatment. Assessments were made at baseline, weeks 4, 8, and 12. Primary outcome measures were feasibility (compliance to exercise, patient satisfaction, and number of participants included in the study), number of leakage episodes, and pad usage. Secondary outcomes included severity of urinary incontinence and overactive bladder symptoms, sexual function, quality of life, anxiety, and depression. Participant eligibility rate was 19%. Patient satisfaction and compliance to exercise were significantly higher in Tele-PFMT than in Home-PFMT ( P < 0.05). No significant differences in the change of leakage episodes and pad usage were found between Tele-PFMT and Home-PFMT. No significant differences in secondary outcomes were found between PFMT groups. Participants in both the Tele-PFMT and Home-PFMT groups had significantly better scores for some measures of urinary incontinence, and overactive bladder and quality of life in compared with the control group. Tele-PFMT was feasible and acceptable in people with multiple sclerosis, and this mode of delivery was associated with greater exercise compliance and satisfaction compared with Home-PFMT. However, Tele-PFMT did not exhibit superiority in terms of leakage episodes and pad usage compared with Home-PFMT. A large trial comparing Home-PFMT and Tele-PFMT is warranted.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content, available at: http://links.lww.com/JNPT/A440 ).

HYPERTENSIVE EMERGENCIES AND BLOOD PRESSURE CONTROL DURING THE COVID-19 PANDEMIC

Objective: To assess the quality of adequate control of hypertension, during the pandemic and in the year after it in 100 previously treated patients as well as the percentage of hypertensive emergencies (HE). Design and method: From July 2020 to July 2021, we studied 100 patients with hypertension, 60 women and 40 men with an age of 72±8 years, who have previously been diagnosed and treated for hypertension. In the first consultation after the pandemic and at 6 months, they underwent an AMPA and a study with home control to all of them. Subsequently, they were asked at 12 months to perform a new home control. The following parameters were measured: systolic and diastolic blood pressure (TAS, TAD), treatment completion (Ctto), control by family doctor (Cmap), the number of times they have gone to the emergency room for uncontrolled tension. Results between the first measurement and 6 months later were compared. Results: The BP per home control at baseline was 148±6/98±4 compared at 6 months was 135±2/84±3 (p&lt;0.05). The baseline ABPM: 152±4/89±3 and at 6 months were 135±2/79±3 (p&lt;0.05). The completion was assessed using the Morisky-Green method and basally we found that 45% of patients were compliant, while, at one year it was 100% (at 6 months of the study 68%). Regarding the number of patients who were controlled by their MAP in these first months was only 5% while at the end of the study they were 55% (80% telephone). Of these P, 18 have gone to the emergency room for an HE (18%). Conclusions:

IOT Based Home Automation System over Cloud

Abstract: The proposed home automation system capitalizes on the NodeMCU board's versatility and the Arduino IoT Cloud platform's capabilities to establish a robust and efficient solution. This powerful combination enables seamless connectivity, real-time data exchange, and remote control of home devices via the internet and Alexa Voice Assistance integration. Users can effortlessly monitor and manage their homes from anywhere using web or mobile interfaces, offering unparalleled flexibility. The IoT home automation system encompasses essential features such as device control, energy management, security, and environmental monitoring. Leveraging the Arduino IoT Cloud platform, users gain easy access to configure and personalize their automation settings. They can establish custom rules and receive notifications based on predefined events or specific conditions, enhancing their overall automation experience.

Design and Implementation of an IOT Based Smart Home Monitoring and Control System Using NodeMCU

This paper presents the design and implementation of an IoT-based smart home monitoring and control system using a NodeMCU firmware and prototyping board. The system allows the user to remotely control electrical appliances through a web-based user interface dashboard. The system uses sensors DHT11 to monitor the temperature and humidity of the home and MQ 2 to monitor the air quality and alerts the user in case smoke or fire is detected. Various HTML scripts are executed to develop a web-based dashboard interface where the user interacts with the system. When connected to the internet, the system generates an IP address that is used to assess the web page for monitoring and control of various house appliances. A maximum coverage range of up to 42.05 meters indoors was achieved by the system using the onboard Wi-Fi module on the NodeMCU. In addition, a correlation was observed between the Wi-Fi coverage distance and the response time to a command signal from the web-based dashboard. The system provides energy efficiency, home security, and centralized remote control of appliances thereby minimizing human efforts and energy losses and providing a friendly and secure home.

Measuring the pitch control of professional football players using spatiotemporal tracking data

We study pitch control in football, using data from six complete seasons of the English Premier League. Our objective is to investigate features of pitch control in the data. We process the data to ensure consistency of the tracking and event datasets. This represents the largest coherent dataset analysed in the literature and allows the observation of consistent patterns across several seasons’ data. We demonstrate that teams playing in front of a crowd at home control on average more of the pitch than teams playing away, which reduces to in matches played behind closed doors. We observe that match by match the difference in pitch control between the teams has a weak, positive correlation with the difference in expected goals (Pearson correlation R = 0.38). As a further manifestation of home advantage we find that in games which the two teams have equal pitch control, on average the home team accumulates greater expected goals (). The concept of weighted pitch control is introduced, by assigning a weight to regions of the pitch. We demonstrate that pitch control of the penalty box of the out-of-possession team is negatively correlated with expected goals in each of the six seasons, and interpret this apparently counter-intuitive result.

Pemanfaatan Sinyal Ekspansi Radius Berbasis Konektivitas Bluetooth Menggunakan Antenna Eksternal Pada Sistem Pengendalian Pencahayaan

&lt;p&gt;Control of the lighting system is a form of implementation of a home control system that is categorized into the form of IoT in the lamp category, this system provides convenience to homeowners, namely users to be able to control home lights using an Android smartphone. In designing the system, the author implements the switch on the lamp to be replaced by using a relay device which is controlled via a microcontroller device based on a Bluetooth connection so that it can be connected to an Android smartphone that has been configured in the lighting control program application using Bluetooth. The design is carried out using a qualitative-based development method. The results of this test provide data in the form of each type of antenna such as yagi, parabolic, and helix giving different connectivity test results in tests carried out in open spaces.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords&lt;/strong&gt;: &lt;em&gt;Android&lt;/em&gt;&lt;em&gt;, &lt;/em&gt;&lt;em&gt;Mikrokontoler&lt;/em&gt;&lt;em&gt;, R&lt;/em&gt;&lt;em&gt;elay,&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;Bluetooth,Antena&lt;/em&gt;&lt;/p&gt;

4.Full blood count and some iron parameters of Street Children in Calabar, Nigeria

Introduction: Street children refer to persons below 18 years who depend on the streets for their survival. These Street Children constitute a vulnerable group with regards to proper nutrition and healthcare hence this study was carried out to assess their full blood counts and some iron parameters. Methods:One hundred and eighty (180) children living on the street and homes in Calabar Metropolis were recruited into this study. Ethical approval was sought and obtained from the Cross River State Ministry of Health, Calabar. Consent was obtained from 90 apparently healthy children on the street while parents/guardians gave consent for 90 apparently healthy children living in homes (control). Demographic information was obtained by interview and weight and height measurements were taken using standard instruments; the body mass index was calculated and used to categorize the nutritional status of subjects. Haematological and iron parameters were determined by standard techniques. Data were analysed using a student t-test on SPSS version 21 with significance level set at P≤0.05. Results: Street Children comprised more males (53.3%) than females with 82.2% being out of school. Strategies employed for survival include receiving benefits from support groups (62.2%), engaging in odd jobs (60%) and begging for alms (100%). The body mass index of Street Children showed that 75.55% of them were healthy in terms of their nutritional status (BMI 16.2-25.5) while those that were underweight (&lt;16.2) and obese (&gt;27.9) made up 20% and 4.45% respectively as compared to 82.23% healthy weight, 2.22% underweight, 11.10% overweight (&gt;25.5-27.9) and 4.45% obese observed for their counterparts who live in homes. The red cell distribution width (RDWCV) was 13.61±3.25 and this was significantly lower (P=0.001) than 16.53±3.28 versus the control, while the total white blood cell count (7.87±4.18 x 109/L) was significantly higher (P=0.05) for street children in comparison with 5.90±1.94 X 109/L obtained for children in homes. Other haematological, as well as iron parameters, were comparable (P&gt;0.05). Conclusions: The haematological parameters of Street children differed from children in homes in terms of a lower red cell distribution width and higher total white cell count. Twenty percent of street children were underweight as indicated by a lower BMI for their age. It is recommended that individuals, corporate bodies and the Government should unite to end street living for children.

Artificial Intelligent for Smart home Control Based on GSM Network Application

In our modern science and digital technological revolution, to provide information and services to manage the state of the elements around us, where Eternity is things that unite everything in the world under one infrastructure, including things, people, places and processes. In smart grid operations, we focus on increasing cost and efficiency through load management and control. To regulate all load/power controllers at each end of the customer, this prototype demand-side control system uses a centralized system with a power management module. At each client end, a data entry scheme is used to retransmit load scheduling requests: GSM is used for wireless data transmission between multiple devices. Several loads, an Arduino Uno, relay modules, current sensors, and a target to control four electronic devices or home lighting by sending a message containing a word that is compared to the word written in the code stored in the microcontroller. If the words match, an LED is required on one of the Adriano ports so that each LED represents a specific replacement candidate. We can easily change the word written in the code using the Adriano software. The system is implemented with a high time response, so all readings are updated and appear spontaneously. The developed system should be Efficient, safe and fast. The smart home system must be implemented in real time

Effects of COVID-19 home quarantine on pregnancy outcomes of patients with gestational diabetes mellitus: a retrospective cohort study

Objective This study aimed to evaluate the effects of the home quarantine on pregnancy outcomes of gestational diabetes mellitus (GDM) patients during the COVID-19 outbreak. Methods The complete electronic medical records of patients with GDM with home quarantine history were collected and classified into the home quarantine group from 24 February 2020 to 24 November 2020. The same period of patients with GDM without home quarantine history were included in the control group from 2018 to 2019. The pregnant outcomes of the home quarantine and control groups were systematically compared, such as neonatal weight, head circumference, body length, one-minute Apgar score, fetal macrosomia, and pre-term delivery. Results A total of 1358 patients with GDM were included in the analysis, including 484 in 2018, 468 in 2019, and 406 in 2020. Patients with GDM with home quarantine in 2020 had higher glycemic levels and adverse pregnancy outcomes than in 2018 and 2019, including higher cesarean section rates, lower Apgar scores, and higher incidence of macrosomia and umbilical cord around the neck. More importantly, the second trimester of home quarantine had brought a broader impact on pregnant women and fetuses. Conclusion Home quarantine has aggravated the condition of GDM pregnant women and brought more adverse pregnancy outcomes during the COVID-19 outbreak. Therefore, we suggested governments and hospitals strengthen lifestyle guidance, glucose management, and antenatal care for patients with GDM with home quarantine during public health emergencies.

X-CHAR: A Concept-based Explainable Complex Human Activity Recognition Model.

End-to-end deep learning models are increasingly applied to safety-critical human activity recognition (HAR) applications, e.g., healthcare monitoring and smart home control, to reduce developer burden and increase the performance and robustness of prediction models. However, integrating HAR models in safety-critical applications requires trust, and recent approaches have aimed to balance the performance of deep learning models with explainable decision-making for complex activity recognition. Prior works have exploited the compositionality of complex HAR (i.e., higher-level activities composed of lower-level activities) to form models with symbolic interfaces, such as concept-bottleneck architectures, that facilitate inherently interpretable models. However, feature engineering for symbolic concepts-as well as the relationship between the concepts-requires precise annotation of lower-level activities by domain experts, usually with fixed time windows, all of which induce a heavy and error-prone workload on the domain expert. In this paper, we introduce X-CHAR , an eXplainable Complex Human Activity Recognition model that doesn't require precise annotation of low-level activities, offers explanations in the form of human-understandable, high-level concepts, while maintaining the robust performance of end-to-end deep learning models for time series data. X-CHAR learns to model complex activity recognition in the form of a sequence of concepts. For each classification, X-CHAR outputs a sequence of concepts and a counterfactual example as the explanation. We show that the sequence information of the concepts can be modeled using Connectionist Temporal Classification (CTC) loss without having accurate start and end times of low-level annotations in the training dataset-significantly reducing developer burden. We evaluate our model on several complex activity datasets and demonstrate that our model offers explanations without compromising the prediction accuracy in comparison to baseline models. Finally, we conducted a mechanical Turk study to show that the explanations provided by our model are more understandable than the explanations from existing methods for complex activity recognition.

An Improved Optimization Function to Integrate the User’s Comfort Perception into a Smart Home Controller Based on Particle Swarm Optimization and Fuzzy Logic

Scheduling residential loads for financial savings and user comfort may be performed by smart home controllers (SHCs). For this purpose, the electricity utility's tariff variation costs, the lowest tariff cost schedules, the user's preferences, and the level of comfort that each load may add to the household user are examined. However, the user's comfort modeling, found in the literature, does not take into account the user's comfort perceptions, and only uses the user-defined preferences for load on-time when it is registered in the SHC. The user's comfort perceptions are dynamic and fluctuating, while the comfort preferences are fixed. Therefore, this paper proposes the modeling of a comfort function that takes into account the user's perceptions using fuzzy logic. The proposed function is integrated into an SHC that uses PSO for scheduling residential loads, and aims at economy and user comfort as multiple objectives. The analysis and validation of the proposed function includes different scenarios related to economy-comfort, load shifting, consideration of energy tariffs, user preferences, and user perceptions. The results show that it is more beneficial to use the proposed comfort function method only when the user requires SHC to prioritize comfort at the expense of financial savings. Otherwise, it is more beneficial to use a comfort function that only considers the user's comfort preferences and not their perceptions.

A fuzzy logic control of a smart home with energy storage providing active and reactive power flexibility services

There is a need for enhanced flexibility to allow the high penetration of intermittent renewable power into the power system. In this way, transmission system operators (TSO) need more flexible energy resources that help to control the power system frequency by using balancing services. Distribution system operators (DSO) also seek new flexible energy resources that can counteract stochasticity, control voltage level, and manage congestions in distribution networks. Smart homes located in distribution networks are potential resources. Hence, this paper considers a smart home with flexible appliances and devices, including a battery energy storage system (BESS) interfaced with an inverter, an air conditioner (AC), and an electric vehicle (EV). The smart home aims to provide the system operators with coordinated frequency and DSO-level services while respecting the thermal comfort and schedules of the household residence. The inverter-interfaced BESS not only provides active power support for TSO and DSO, but it also injects and consumes reactive power if the DSO needs local flexibility. Fuzzy logic control system is deployed to obtain this goal. In the simulation section, a smart home with flexible appliances is scheduled. Different operations and the economic outcomes are discussed for the smart home considering real-world data.

Online System Construction of Music General Education in Higher Vocational Colleges Based on Internet-Assisted Spectrum Signal Transmission

In this paper, a synchronizing method, which is fully realized by software, is proposed in the transmission of digital signal transcoding, and a detailed theoretical description of music is presented, and the steps and methods of it to achieve synchronization are proposed. This article attempts to study the relationship between general music education and campus culture construction, and finds that general music education is the way to realize campus culture construction, and campus culture construction makes general music education more comprehensive. It suppresses the characteristic components of the interference spectrum in the process of signal transmission, extract the statistical characteristics of musical instruments, and use the joint parameter estimation method to estimate the scale and time delay of home control signals. The cultivation of music literacy, the development of music education resources, and the improvement of music teachers, etc., propose the application of teaching subject information technology Combination strategy with informatization of music education practice process.

Learning from Nursing Home Infection Prevention and Control Citations During the COVID-19 Pandemic.

The devastating effects of coronavirus disease 2019 (COVID-19) highlight the critical need for effective infection prevention and control (IPC) practices in nursing homes. Nursing management and infection preventionists should be cognizant of the most common reasons underlying federal IPC citations during the pandemic. Analysis of IPC citation data from the first 7 months of the public health emergency identified that adherence to personal protective equipment (PPE) and mask use, appropriate transmission-based precautions, and hand hygiene were the most common reasons for COVID-19-related F880 citations, including those that placed a person at immediate risk for serious injury or death. More specific staff practices and other factors leading to a citation are also highlighted. Although nursing homes may have limited control over factors such as PPE supply and staffing resources, nursing management and infection preventionists can use these results to help ensure that operational mechanisms, staff training, and adherence monitoring efforts effectively address the areas most associated with COVID-19 IPC noncompliance. [Journal of Gerontological Nursing, 49(2), 36-42.].

Impact of continued high blood pressure on the progression of diabetic nephropathy after 10 years: KAMOGAWA-HBP study.

Albuminuria is a prognostic marker of worsening renal outcomes in people with hypertension and type 2 diabetes. High home systolic blood pressure is associated with the development of diabetic nephropathy. We assessed the impact of chronic high home blood pressure on diabetic nephropathy progression 10 years after study entry. The participants measured their blood pressure three times in the morning for 14 days at study entry and 10 years after study entry. A retrospective cohort of 165 people with type 2 diabetes at a single hospital was classified into four groups (good control maintenance, improvement, deterioration, and continuous high blood pressure groups) according to a morning home systolic blood pressure ≥125 mmHg at study entry and 10 years after study entry. Logistic regression analysis was performed to determine the association between home blood pressure control and the progression of diabetic nephropathy. After 10 years of entry, the status of nephropathy improved for 5.5% of the participants, remained unchanged for 72.1%, and progressed for 22.4%. The odds ratio of the continuous high blood pressure group versus that of the good control maintenance group for the progression of diabetic nephropathy was 10.41 (95% CI, 1.26-86.15). After adjusting for the introduction of renin-angiotensin-aldosterone system inhibitors during the follow-up period, there was no significant difference in the odds ratio of worsening nephropathy between these groups. The deterioration and improvement groups did not have significant diabetic nephropathy progression compared to the good control maintenance group. Chronic high home blood pressure was associated with the progression of diabetic nephropathy, and RAAS inhibitors could attenuate the negative effect. We demonstrated that chronic home blood pressure was associated with the progression of diabetic nephropathy.

S-30-2: ASIAN MANAGEMENT OF HYPERTENSION: CURRENT STATUS, HOME BP MONITORING, AND SPECIFIC CONCERNS IN PHILIPPINES

Introduction: Cardiovascular disease (CVD) in the Philippines showed hypertension as the highest (38.6%), followed by stroke (30%), coronary artery disease (17.5 %), heart failure (10.4%). Risk factor were: diabetes at 3.9%, dyslipidemia at 72%, smoking at 31%, obesity at 4.9% (BMI). Latest hypertension prevalence is 37%. Aware hypertensives were 19%, unaware was 18%. Treatment rate was 68%, compliance was 86%, blood pressure (BP) control rate was 37%. Mortality from CVD were stroke, mostly infarct (22.6%), MI (6.5%), Heart Failure (6.5%). Drugs used were angiotensin receptor blockers (64%), calcium channel blockers (42%), beta-blockers (6%), ACE inhibitors (4%) and diuretics (1%). Current status of home BP monitoring (HBPM): HBPM is performed by 23% of hypertensive population in the Philippine. Barriers to its use include cost, availability and lack of trust regarding the accuracy of digital BP devices. Currently, physicians encourage patients to monitor BP at home to better assess their treatment to rule out white coat, masked hypertension and other parameters. Philippine sub-analysis of AsiaBP@Home study: Data on HBPM offer solution to problems encountered particularly in Asia. Based on AsiaBP@Home study as a multi-national Asian specialty center performance regarding home and clinic BP control, majority of uncontrolled hypertension simulated by the new lower ACC/AHA guideline threshold gave additional 18% increase in sustained uncontrolled hypertension (SUCH) and to additional 5% increase in white-coat uncontrolled hypertension (WUCH). In a sub-group analysis of the Philippines in this study (Fig.1), using conventional threshold values, well-controlled clinic SBP was only 69% and well controlled morning home SBP was 79%. Using the new threshold levels, the well-controlled clinic SBP decreased to 43% and well controlled morning home SBP was lower at 67%. Comparing the conventional to the new thresholds, controlled hypertension decreased from 62% to 37%, masked morning hypertension decreased from 8% to 6%, Sustained hypertension increased from 13% to 27%, and white-coat hypertension increased from 18% to 31%. Summary: Hypertension still remains a major problem in the Philippines. Office BP measurement remains to be our standard for hypertension assessment and it appears to be insufficient in guiding us in our management approach. With the availability of newer and practical tools such as the HBPM, it will certainly improve hypertension evaluation, patient awareness, physician alertness in achieving better BP control and hence, better outcomes.