Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology.

In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, noninvasive way by using equipment that is easy to transport. Diabetes mellitus is a chronic disease that affects public health globally. Although diabetes mellitus can be accurately diagnosed using conventional methods, these methods require the collection of data in a clinical setting and are unlikely to be feasible in areas with few medical resources. This technique combines an analysis of fundus photography of the physical and physiological features of the patient, namely, the tongue and the pulse, which are used in Traditional Chinese Medicine. A random forest algorithm was used to analyze the data, and the accuracy, precision, recall, and F1 scores for the correct classification of diabetes were 0.85, 0.89, 0.67, and 0.76, respectively. The proposed technique for diabetes diagnosis offers a new approach to the diagnosis of diabetes, in that it may be convenient in regions that lack medical resources, where the early detection of diabetes is difficult to achieve.

[Full-information Force Sensor for Pulse Condition Diagnose].

According to the collection principles and characteristics of the pulse physiological signals of traditional Chinese medicine, combined with the international standard requirements of the pulse graph force transducer (ISO 19614:2017-05), a special force sensor component that can be used for a complete and objective collection of pulse signals has been developed, this sensor meets the requirements of industrialization. The sensor can measure the pulse amplitude and width signals of the cunpart of the human body. In addition, three sensors can be placed at the cun, guan, chi part at the same time, so that the "three body parts and nine pulse-taking sites" can be realized synchronously. After the sensor has been verified, the results meet the relevant requirements of international standard. The consistency of the result can be reached to 92.3% compared with the diagnosis result of clinical TCM experts.

Graph Based Multichannel Feature Fusion for Wrist Pulse Diagnosis.

It is well known in Traditional Chinese Medicine (TCM) that a person's wrist pulse signal can reflect their health condition. Recently, many computerized wrist pulse AI systems have been proposed to simulate a practitioner's three fingers in order to acquire the wrist pulse signals (three positions/channels) from a candidate's wrist dynamically, before evaluating their health status based on the various feature extraction and detection methods. However, few works have investigated the correlation of the extracted features from the three wrist channels and comprehensively fused the various features together, which can improve the performance of wrist pulse diagnosis. In this paper, we propose a graph based multichannel feature fusion (GBMFF) method to utilize the multichannel features of the wrist pulse signals effectively. In detail, two different sensors, i.e., pressure and photoelectricity are used to capture the three channels of the wrist pulse signals. These are used to generate two different features by applying the stacked sparse autoencoder and wavelet scattering. Each feature of one wrist pulse sample is regarded as a node associated with its corresponding feature vector, and used to construct a graph for one candidate. A novel algorithm is implemented to construct different graphs for different candidates, which are used for wrist pulse diagnosis by developing graph convolutional networks. Experimental results indicate that our proposed AI-based method can obtain superior performances compared to other state-of-the-art approaches.

Disclosure of suboptimal health status through traditional Chinese medicine-based body constitution and pulse patterns.

OBJECTIVES: Suboptimal health status (SHS) is a dynamic state wherein people have not been diagnosed with a disease but tend to develop diseases. People with SHS often experience fatigue and other nonspecific symptoms, which are related to a deviated body constitution in traditional Chinese medicine (TCM). However, the correlation between TCM constitution and SHS has not been adequately investigated. Furthermore, no study has explored the radial pulse analysis-an assistive objective indicator of TCM constitution-in healthy people and people with SHS. DESIGN: A cross-sectional study. SETTINGS/LOCATION: Center for Traditional Medicine, Taipei Veterans General Hospital, Taiwan. SUBJECTS: Sixty-six adults (27 healthy participants and 39 participants with SHS) who were aged 20-39 years. OUTCOME MEASURES: The body constitution questionnaire (BCQ) scores, suboptimal health status questionnaire-25 (SHSQ-25) scores, and radial pulse waves detected using sphygmography were recorded. Pulse wave analyses are presented as the ratio of frequency below 10 Hz to that above 10 Hz (SER10), which represent energy changes in organ blood flow. RESULTS: Participants with SHS had significantly higher Yang-Xu, Yin-Xu, and stasis scores of BCQ compared with healthy participants. The SHSQ-25 scores of the participants with SHS were moderately correlated with their Yang-Xu, Yin-Xu, and stasis scores (r = 0.65, 0.66, and 0.72, respectively; all p < 0.001), but weak correlations were discovered for healthy participants. The participants with SHS had significantly higher SER10 at the left guan (the "liver" system in TCM) than did the healthy participants. CONCLUSIONS: SHS is moderately correlated with TCM-based constitution and those with SHS had increased SER10 at the leftguan of the radial pulse.

Full-information Force Sensor for Pulse Condition Diagnose / 中国医疗器械杂志

According to the collection principles and characteristics of the pulse physiological signals of traditional Chinese medicine, combined with the international standard requirements of the pulse graph force transducer (ISO 19614:2017-05), a special force sensor component that can be used for a complete and objective collection of pulse signals has been developed, this sensor meets the requirements of industrialization. The sensor can measure the pulse amplitude and width signals of the cunpart of the human body. In addition, three sensors can be placed at the cun, guan, chi part at the same time, so that the "three body parts and nine pulse-taking sites" can be realized synchronously. After the sensor has been verified, the results meet the relevant requirements of international standard. The consistency of the result can be reached to 92.3% compared with the diagnosis result of clinical TCM experts.

Highly Sensitive Flexible Iontronic Pressure Sensor for Fingertip Pulse Monitoring.

The pulse is a key biomedical signal containing various human physiological and pathological information highly related to cardiovascular diseases. Pulse signals are often collected from the radial artery based on Traditional Chinese Medicine, or by using flexible pressure sensors. However, the wrist wrapped with a flexible pressure sensor exhibits unstable signals under hand motion because of the concave surface of the wrist. By contrast, fingertips have a convex surface and therefore show great promises in stable and long-term pulse monitoring. Despite the promising potential, the fingertip pulse signal is weak, calling for highly sensitive detecting devices. Here, a highly sensitive and flexible iontronic pressure sensor with a linear sensitivity of 13.5 kPa-1 , a swift response, and remarkable stability over 5000 loading/unloading cycles is developed. This sensor enables stable and high-resolution detection of pulse waveform under both static condition and finger motion. Fingertip pulse waveforms from subjects of different genders, age, and health conditions are collected and analyzed, suggesting that fingertip pulse information is highly similar to that of the radial artery. This work justifies that fingertip is an ideal platform for pulse signals monitoring, which would be a competitive alternative to existing complex health monitoring systems.

Fetal Middle Cerebral Artery Pulsatility Index in No-Risk Pregnancies: Effects of Auditory Stimulation and Pregnancy Order.

Pulsatility index (PI) values in a fetal middle cerebral artery (MCA) were compared in no-risk pregnancies to examine the differences related to auditory stimulation test and pregnancy order. The study included 196 women with no-risk pregnancies selected from the database of more than 1000 pregnant women divided into two groups. Group 1 consisted of 98 nulliparous women (C1 = 98) and Group 2 consisted of 98 parous women (C2 = 98). All pregnant women were of comparable age and fetal gestational age (GA) when MCA-PI values were recorded. Measurements of PI values in fetal MCA were obtained before and immediately after the application of fetal auditory stimulation test. The MCA-PI measuring was conducted in the period between the 36th and the 41st week of GA. The results showed that PI baseline values and PI values after defined auditory stimulation were significantly different when measured in nulliparous women compared to parous women (p = 0.001; p = 0.003, respectively), while no group differences were observed in relative PI value changes due to auditory stimulation. These findings suggest that hemodynamic changes in fetal MCA caused by defined auditory stimulation measured by PI value changes may be valuable in the assessment of fetal auditory perception functionality and its development.

Desarrollo de un sistema biomédico para monitoreo local y remoto de signos vitales de pacientes, utilizando tecnología de Internet de las Cosas, IoT / Development of a biomedical system for local and remote monitoring of vital signs of patients, using Internet of Things technology, IoT

Se desarrolló el prototipo y pruebas de verificación del funcionamiento necesarias en un equipo médico, con el fin de obtener información confiable de dicho dispositivo. Se enfocó la investigación en el área de la tecnología aplicada en el sector de la salud, desarrollando un sistema de monitoreo local y remoto de signos vitales de pacientes utilizando como base la tecnología IoT y dispositivos inteligentes Smartphone. Para ello se diseñó una App Android, un dispositivo electrónico biomédico a partir de la tarjeta electrónica MySignals HW, así como la integración y programación de sensores biométricos con el controlador y periféricos de visualización de la información. El sistema cuenta con la capacidad necesaria de comunicación para que, a través de la red se envíen los datos obtenidos como resultado del proceso de lectura de los sensores a la base de datos en el servidor IoT, lo que permite saber desde cualquier lugar, las lecturas medicas tomadas del paciente por medio de dispositivos inteligentes a través de la App o portal web. Los sensores utilizados y probados en esta investigación son: Oximetría (SpO2 y Pulso), Temperatura corporal, frecuencia respiratoria y tensión o presión arterial.

The prototype and verification tests of the necessary operation in a medical equipment were developed, in order to obtain reliable information from said device. Research was focused on the area of ​​applied technology in the health sector, developing a local and remote monitoring system of vital signs of patients using IoT technology and Smartphone smart devices as a basis. For this, an Android App was designed, a biomedical electronic device based on the MySignals HW electronic card, as well as the integration and programming of biometric sensors with the controller and information display peripherals. The system has the necessary communication capacity so that, through the network, the data obtained as a result of the sensor reading process are sent to the database on the IoT server, which allows to know from anywhere, the Medical readings taken from the patient through smart devices through the App or web portal. The sensors used and tested in this investigation are: Oximetry (SpO2 and Pulse), Body temperature, respiratory rate and blood pressure or pressure.

A machine learning method correlating pulse pressure wave data with pregnancy.

Pulse feeling , representing the tactile arterial palpation of the heartbeat, has been widely used in traditional Chinese medicine (TCM) to diagnose various diseases. The quantitative relationship between the pulse wave and health conditions however has not been investigated in modern medicine. In this paper, we explored the correlation between pulse pressure wave (PPW), rather than the pulse key features in TCM, and pregnancy by using deep learning technology. This computational approach shows that the accuracy of pregnancy detection by the PPW is 84% with an area under the curve (AUC) of 91%. Our study is a proof of concept of pulse diagnosis and will also motivate further sophisticated investigations on pulse waves.

Conceptos actuales de interpretación de los signos vitales en odontología y su aplicación clínica / Current concepts of interpretation of vital signs in dentistry and its clinical application

La medición de los signos vitales es de gran importancia en el consultorio dental, de esta forma podemos obtener una visión objetiva y anticipada del estado funcional del paciente. Según la información obtenida, se tomarán decisiones terapéuticas. El odontólogo debe saber que el seguimiento clínico y el uso de la técnica adecuada para sus mediciones representan un aspecto muy relevante para prevenir emergencias en el consultorio dental. El odontólogo debe medir los signos vitales antes, durante y después del procedimiento dental y, del mismo modo, debe estar involucrado en la situación individual de cada paciente y proporcionar medidas higiénicodietéticas para mejorar su calidad de vida. La evaluación continua de los signos vitales durante el procedimiento quirúrgico dental, en el que se usan anestésicos locales, es particularmente relevante en este caso, ya que puede ayudarnos a prevenir complicaciones como arritmias cardiacas, crisis hipertensivas o angina de pecho. El objetivo de este artículo es promover en toda la profesión odontológica, el monitoreo de los signos vitales, su técnica de medición correcta y su correlación con otros datos de un historial completo médico y dental (AU)

The measurement of vital signs is of great importance in the dental office, this way we can obtain an objective and anticipated vision of the functional state of the patient. According to the information obtained, therapeutic decisions will be made. The dentist must know that monitoring and using the appropriate technique for its measurements, represents a very relevant aspect for the emergency in the dental office. The dentist must measure the vital signs before, during and after the dental procedure, likewise, they must be involved in the individual situation of each patient and provide hygienic-dietetic measures to improve their quality of life. The continuous assessment of vital signs during the dental surgical procedure, in which local anesthetics are used, is particularly relevant in this case since it can help us prevent complications such as cardiac arrhythmias, hypertensive crisis or angor pectoris. The objective of this article is to promote throughout the dental profession, the monitoring of vital signs, their correct measurement technique and their correlation with other data from a complete medical and dental history (AU)

Effect of Black Tea and Green Tea on the Radial Pulse Spectrum in Healthy Humans.

The consumption of black tea and green tea has been shown to be beneficial for cardiovascular health. Because the chemical composition of the two teas varies widely, the purpose of the study was to investigate whether the consumption of green tea and black tea had different effects on the arterial system. Thirty-three healthy subjects received a single dose of green tea (dose = 0.05 g/kg) and black tea (dose = 0.05 g/kg) in different weeks. Radial blood pressure and radial pulse pressure were measured before and after drinking tea. The harmonic analysis was performed on radial pressure waves, and harmonics (Cns) were recorded. The results showed that both black tea and green tea consumption significantly increased the C1, C2, C6, C7, C8, C9, and C10 of the radial pressure wave. Furthermore, the results confirmed that the consumption effect of green tea on C6-C10 increase is greater than that of black tea. This report also found a subtle difference that consumption of green tea increased C4, whereas consumption of black tea increased C3. We concluded that black tea and green tea have similar patterns in higher harmonics, but with varying degrees.

Analysis of Pulse Signals Based on Array Pulse Volume.

OBJECTIVE: To collect and analyze multi-dimensional pulse diagram features with the array sensor of a pressure profile system (PPS) and study the characteristic parameters of the new multi-dimensional pulse diagram by pulse diagram analysis technology. METHODS: The pulse signals at the Guan position of left wrist were acquired from 105 volunteers at the Shanghai University of Traditional Chinese Medicine. We obtained the pulse data using an array sensor with 3×4 channels. Three dimensional pulse diagrams were constructed for the validated pulse data, and the array pulse volume (APV) parameter was computed by a linear interpolation algorithm. The APV differences among normal pulse (NP), wiry pulse (WP) and slippery pulse (SP) were analyzed using one-way analysis of variance. The coefficients of variation (CV) were calculated for WP, SP and NP. RESULTS: The APV difference between WP and NP in the 105 volunteers was statistically significant (6.26±0.28 vs. 6.04±0.36, P=0.048), as well as the difference between WP and SP (6.26±0.28 vs. 6.07±0.46, P=0.049). However, no statistically significant difference was found between NP and SP (P=0.75). WP showed a similar CV (4.47%) to those of NP (5.96%) and SP (7.58%). CONCLUSION: The new parameter APV could differentiate between NP or SP and WP. Accordingly, APV could be considered an useful parameter for the analysis of array pulse diagrams in Chinese medicine.

A Wearable Multifunctional Pulse Monitor Using Thermosensation-Based Flexible Sensors.

OBJECTIVE: This study proposes a novel wearable pulse monitoring system, which can realize the synchronous measurements of pulse wave, skin, temperature, and pulse wave velocity (PWV). METHODS: A flexible sensor based on thermosensation is used to detect pressure and temperature stimuli simultaneously. A total of two sensors are integrated to detect pulse transit along two specific points of the artery, e.g., Cun and Chi at a wrist, the data of which are subsequently used to figure out the PWV by using a tailor-designed algorithm conducted in a microprocessor. Calibration experiments and application cases are conducted to validate the effectiveness of the monitor. RESULTS: The developed monitor detects the physiological signals of pulse wave, PWV, and skin temperature simultaneously. In addition, the monitor can measure the pulse changes before and after exercises and track skin temperature variations when warming and cooling. Moreover, the monitor can be also used to detect the local PWV at the wrist. CONCLUSION: The synchronous measurements of pulse wave, skin temperature, and PWV using a wearable monitor are feasible. SIGNIFICANCE: The monitor is small, simple-structured, with multifunction, and thus provides a promising auxiliary approach for traditional Chinese medicine pulse diagnosis.

Contingent biofeedback outperforms other methods to enhance the accuracy of cardiac interoception: A comparison of short interventions.

BACKGROUND AND OBJECTIVES: Deviations in interoception might contribute to the development and maintenance of mental disorders. The improvement of interoceptive accuracy (IA) is desirable but assessment and training methods remain controversial. For instance, it was assumed that performance increases in heartbeat counting paradigms after cardiac feedback were due to an improvement of knowledge with regard to heart rate rather than due to an actual improvement in IA. METHODS: Here, we examined effects of contingent cardiac feedback training, non-contingent cardiac feedback, mindfulness practice, and a waiting period with external attentional focus on IA. 100 healthy participants underwent a mental tracking paradigm before and after 20 min of training or waiting. RESULTS: Results revealed a significant increase of IA in the contingent feedback condition (d = 1.21, p ≤ .001) and no significant changes after non-contingent feedback, mindfulness practice or waiting (d ≤ 0.37; p ≥ .06). Furthermore, IA increase was significantly higher after the contingent feedback training compared to all other conditions, including non-contingent feedback. LIMITATIONS: Future studies need to replicate these findings in clinical samples and examine time dependent effects. CONCLUSIONS: The results provide evidence for the trainability of heartbeat perception. IA improvements may reduce the symptom burden in people suffering from mental disorders and psychophysiological conditions that have been linked to lower interoceptive accuracy such as depression, somatic symptom disorder, chronic pain, and functional somatic syndromes. Consequently, exploration of biofeedback training procedures shall be continued with the aim of identifying relevant mediators of beneficial effects and future implementation in clinical practice.

Analysis of Pulse Signals Based on Array Pulse Volume / 中国结合医学杂志

OBJECTIVE@#To collect and analyze multi-dimensional pulse diagram features with the array sensor of a pressure profile system (PPS) and study the characteristic parameters of the new multi-dimensional pulse diagram by pulse diagram analysis technology.@*METHODS@#The pulse signals at the Guan position of left wrist were acquired from 105 volunteers at the Shanghai University of Traditional Chinese Medicine. We obtained the pulse data using an array sensor with 3×4 channels. Three dimensional pulse diagrams were constructed for the validated pulse data, and the array pulse volume (APV) parameter was computed by a linear interpolation algorithm. The APV differences among normal pulse (NP), wiry pulse (WP) and slippery pulse (SP) were analyzed using one-way analysis of variance. The coefficients of variation (CV) were calculated for WP, SP and NP.@*RESULTS@#The APV difference between WP and NP in the 105 volunteers was statistically significant (6.26±0.28 vs. 6.04±0.36, P=0.048), as well as the difference between WP and SP (6.26±0.28 vs. 6.07±0.46, P=0.049). However, no statistically significant difference was found between NP and SP (P=0.75). WP showed a similar CV (4.47%) to those of NP (5.96%) and SP (7.58%).@*CONCLUSION@#The new parameter APV could differentiate between NP or SP and WP. Accordingly, APV could be considered an useful parameter for the analysis of array pulse diagrams in Chinese medicine.

The PodPAD project: a podiatry-led integrated pathway for people with peripheral arterial disease in the UK - a pilot study.

BACKGROUND: Peripheral arterial disease affects the lower limb and is associated with diabetes, high cholesterol, smoking and obesity. It increases the risk of cardiovascular morbidity and mortality. It can be symptomatic causing intermittent claudication, but often there are few clinical signs. Podiatrists are able to detect the presence of peripheral arterial disease as part of their lower limb assessment and are well placed to give advice on lifestyle changes to help reduce disease progression. This is important to improve health outcomes and is offered as a prevention/public health intervention. METHOD: We describe the clinical and patient-centred outcomes of patients attending a podiatry-led integrated care pathway in a multi-use clinic situated in a venue supported by the National Centre for Sports and Exercise Medicine in the UK. At the baseline appointment, patients were given a full assessment where symptoms of intermittent claudication using the Edinburgh Intermittent Claudication Questionnaire, foot pulses, Doppler sounds, Ankle Brachial Pressure Indices, glycated haemoglobin (HbA1c) and cholesterol levels, and smoking status were recorded. A tailored treatment plan was devised, including referral to an exercise referral service, smoking cessation programmes (if applicable) and each participant was also seen by a dietician for nutritional advice. Participants were followed up at 3 and 6 months to assess any improvement in vascular status and with each completing the EQ-5D quality of life questionnaire and a simple satisfaction questionnaire at the end of the study. As this was a complex intervention a pilot study design was adopted to evaluate if the method and outcomes were suitable and acceptable to participants the results of which will then inform the design of a larger study. RESULTS: Data was collected on 21 individuals; 15 men (71.4%) and 6 women (28.6%) across the 6-month study period. Eleven participants were referred onto the exercise referral service; 16 participants saw the dietician for nutritional advice at baseline and had one-to-one or telephone follow-up at 3 months. Five out of 14 participants had reduced scores from baseline of intermittent claudication during the study period. No evidence for substantive changes in Doppler sounds or ABPI measurements was revealed. Quality of life scores with the EQ-5D improved in 15 participants; this was statistically significant (p = 0.007) with 14 participants who completed the simple satisfaction questionnaire expressing a positive view of the programme. Of the four people who were smokers, two stopped smoking cigarettes and moved to e-cigarettes as part of smoking cessation advice. CONCLUSION: As this was a pilot study the sample size was low, but some statistically significant improvements with some measures were observed over the 6-month study. Podiatrists are able to provide a comprehensive vascular assessment of the lower limb and accompanying tailored advice on lifestyle changes including smoking cessation and exercise. Locating clinics in National Centres for Sports and Exercise Medicine enables easy access to exercise facilities to encourage the adoption of increased activity levels, though the long term sustainability of exercise programmes still requires evaluation.This study was reviewed and approved by London Brent Ethics Committee IRAS ID 204611 and received research governance approval from the sponsor, Sheffield Teaching Hospitals NHS Foundation Trust Research and Innovation Office STH19410.

Meal Fatty Acids Have Differential Effects on Postprandial Blood Pressure and Biomarkers of Endothelial Function but Not Vascular Reactivity in Postmenopausal Women in the Randomized Controlled Dietary Intervention and VAScular function (DIVAS)-2 Study.

Background: Elevated postprandial triacylglycerol concentrations, impaired vascular function, and hypertension are important independent cardiovascular disease (CVD) risk factors in women. However, the effects of meal fat composition on postprandial lipemia and vascular function in postmenopausal women are unknown. Objective: This study investigated the impact of sequential meals rich in saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), or n-6 (ω-6) polyunsaturated fatty acids (PUFAs) on postprandial flow-mediated dilatation (FMD; primary outcome measure), vascular function, and associated CVD risk biomarkers (secondary outcomes) in postmenopausal women. Methods: A double-blind, randomized, crossover, postprandial study was conducted in 32 postmenopausal women [mean ± SEM ages: 58 ± 1 y; mean ± SEM body mass index (in kg/m2): 25.9 ± 0.7]. After fasting overnight, participants consumed high-fat meals at breakfast (0 min; 50 g fat, containing 33-36 g SFAs, MUFAs, or n-6 PUFAs) and lunch (330 min; 30 g fat, containing 19-20 g SFAs, MUFAs, or n-6 PUFAs), on separate occasions. Blood samples were collected before breakfast and regularly after the meals for 480 min, with specific time points selected for measuring vascular function and blood pressure. Results: Postprandial FMD, laser Doppler imaging, and digital volume pulse responses were not different after consuming the test fats. The incremental area under the curve (iAUC) for diastolic blood pressure was lower after the MUFA-rich meals than after the SFA-rich meals (mean ± SEM: -2.3 ± 0.3 compared with -1.5 ± 0.3 mm Hg × 450 min × 103; P = 0.009), with a similar trend for systolic blood pressure (P = 0.012). This corresponded to a lower iAUC for the plasma nitrite response after the SFA-rich meals than after the MUFA-rich meals (-1.23 ± 0.7 compared with -0.17 ± 0.4 µmol/L × 420 min P = 0.010). The soluble intercellular adhesion molecule 1 (sICAM-1) time-course profile, AUC, and iAUC were lower after the n-6 PUFA-rich meals than after the SFA- and MUFA-rich meals (P ≤ 0.001). Lipids, glucose, and markers of insulin sensitivity did not differ between the test fats. Conclusion: Our study showed a differential impact of meal fat composition on blood pressure, plasma nitrite, and sICAM-1, but no effect on postprandial FMD or lipemia in postmenopausal women. This trial was registered at www.clinicaltrials.gov as NCT02144454.

A sensor-based wrist pulse signal processing and lung cancer recognition.

Pulse diagnosis is an efficient method in traditional Chinese medicine for detecting the health status of a person in a non-invasive and convenient way. Jin's pulse diagnosis (JPD) is a very efficient recent development that is gradually recognized and well validated by the medical community in recent years. However, no acceptable results have been achieved for lung cancer recognition in the field of biomedical signal processing using JPD. More so, there is no standard JPD pulse feature defined with respect to pulse signals. Our work is designed mainly for care giving service conveniently at home to the people having lung cancer by proposing a novel wrist pulse signal processing method, having an insight from JPD. We developed an iterative slide window (ISW) algorithm to segment the de-noised signal into single periods. We analyzed the characteristics of the segmented pulse waveform and for the first time summarized 26 features to classify the pulse waveforms of healthy individuals and lung cancer patients using a cubic support vector machine (CSVM). The result achieved by the proposed method is found to be 78.13% accurate.

Development of Software for Automatic Analysis of Intervention in the Field of Homeopathy.

OBJECTIVE: To study the effect of homeopathic medicines (in higher potencies) in normal subjects, Peripheral Pulse Analyzer (PPA) has been used to record physiologic variability parameters before and after administration of the medicine/placebo in 210 normal subjects. METHODS: Data have been acquired in seven rounds; placebo was administered in rounds 1 and 2 and medicine in potencies 6, 30, 200, 1 M, and 10 M was administered in rounds 3 to 7, respectively. Five different medicines in the said potencies were given to a group of around 40 subjects each. Although processing of data required human intervention, a software application has been developed to analyze the processed data and detect the response to eliminate the undue delay as well as human bias in subjective analysis. This utility named Automatic Analysis of Intervention in the Field of Homeopathy is run on the processed PPA data and the outcome has been compared with the manual analysis. The application software uses adaptive threshold based on statistics for detecting responses in contrast to fixed threshold used in manual analysis. RESULTS: The automatic analysis has detected 12.96% higher responses than subjective analysis. Higher response rates have been manually verified to be true positive. This indicates robustness of the application software. The automatic analysis software was run on another set of pulse harmonic parameters derived from the same data set to study cardiovascular susceptibility and 385 responses were detected in contrast to 272 of variability parameters. It was observed that 65% of the subjects, eliciting response, were common. CONCLUSION: This not only validates the software utility for giving consistent yield but also reveals the certainty of the response. This development may lead to electronic proving of homeopathic medicines (e-proving).